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<a href="linear__combination__relu_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="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="numeric__types_8h.html">cutlass/numeric_types.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="array_8h.html">cutlass/array.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="functional_8h.html">cutlass/functional.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="numeric__conversion_8h.html">cutlass/numeric_conversion.h</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span>epilogue {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">namespace </span>thread {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">typename</span> ElementOutput_, </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordtype">int</span> Count, </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">typename</span> ElementAccumulator_ = ElementOutput_, </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">typename</span> ElementCompute_ = ElementOutput_, </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="namespacecutlass.html#aabe6b8ce223bf05f65a4721a3f5447a6">FloatRoundStyle</a> Round = <a class="code" href="namespacecutlass.html#aabe6b8ce223bf05f65a4721a3f5447a6a280b2492e1afdb76d63ad6a4cd4f38d7">FloatRoundStyle::round_to_nearest</a></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> ></div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html"> 58</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html">LinearCombinationRelu</a> {</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#acb1b391e1c4d1573622cb7ee108d74d7"> 61</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#acb1b391e1c4d1573622cb7ee108d74d7">ElementOutput</a> = ElementOutput_;</div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#ad1acf74be026cb3f6165ae02d779ddd4"> 62</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#ad1acf74be026cb3f6165ae02d779ddd4">ElementAccumulator</a> = ElementAccumulator_;</div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11"> 63</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> = ElementCompute_;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a70f9d8e1eef1ab9f67168af75442dfd9"> 65</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a70f9d8e1eef1ab9f67168af75442dfd9">kCount</a> = Count;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a14bfd5ef175cf1d0242cc3a3c28e130d"> 67</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a14bfd5ef175cf1d0242cc3a3c28e130d">FragmentOutput</a> = Array<ElementOutput, kCount>;</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a37cb96ec3a7e16d88dc7402cd5246ce1"> 68</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a37cb96ec3a7e16d88dc7402cd5246ce1">FragmentAccumulator</a> = Array<ElementAccumulator, kCount>;</div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a54909b2fb614bf006572ceb79a264d05"> 69</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a54909b2fb614bf006572ceb79a264d05">ComputeFragment</a> = Array<ElementCompute, kCount>;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a80f6b354f863f10380365994ba0a08ee"> 71</a></span>  <span class="keyword">static</span> <a class="code" href="namespacecutlass.html#aabe6b8ce223bf05f65a4721a3f5447a6">FloatRoundStyle</a> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a80f6b354f863f10380365994ba0a08ee">kRound</a> = Round;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html"> 74</a></span>  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html">Params</a> {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a48d23248d58b6f7b5aa6aae7cd66afa0"> 76</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> <a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a48d23248d58b6f7b5aa6aae7cd66afa0">alpha</a>; </div><div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a7f3cb135884b5ef89bdef997159a3844"> 77</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> <a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a7f3cb135884b5ef89bdef997159a3844">beta</a>; </div><div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#af7df6ba63892ee5b7c7f96866e7865ce"> 78</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> <a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#af7df6ba63892ee5b7c7f96866e7865ce">threshold</a>; </div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a6c266e54081c08d25f4d6832ca24e673"> 79</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> <span class="keyword">const</span> *<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a6c266e54081c08d25f4d6832ca24e673">alpha_ptr</a>; </div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a2dfa5dc3c851915d39d27bf6b4cc68e6"> 80</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> <span class="keyword">const</span> *<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a2dfa5dc3c851915d39d27bf6b4cc68e6">beta_ptr</a>; </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="comment">//</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">//</span></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>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#aab0a1bf972d12ad08acec38f10702bf0"> 87</a></span>  <a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#aab0a1bf972d12ad08acec38f10702bf0">Params</a>(): </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  alpha(<a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(1)), </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  beta(<a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(0)),</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  threshold(<a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(0)),</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  alpha_ptr(<a class="code" href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a>), </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  beta_ptr(<a class="code" href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</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>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#afcaa9ef1be508e3dd08a530266cb346f"> 95</a></span>  <a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#afcaa9ef1be508e3dd08a530266cb346f">Params</a>(</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> alpha,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> beta,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> threshold = <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(0)</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  ): alpha(alpha), beta(beta), threshold(threshold), alpha_ptr(<a class="code" href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a>), beta_ptr(<a class="code" href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a>) {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a1f25f8df366d33bc4b256c92869ec20e"> 104</a></span>  <a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a1f25f8df366d33bc4b256c92869ec20e">Params</a>(</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> <span class="keyword">const</span> *alpha_ptr,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> <span class="keyword">const</span> *beta_ptr,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> threshold = <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(0)</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  ): alpha(0), beta(0), threshold(threshold), alpha_ptr(alpha_ptr), beta_ptr(beta_ptr) {</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </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="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">//</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="comment">//</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>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> alpha_;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> beta_;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> threshold_;</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> <span class="keyword">public</span>:</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#ae060fd9c16f95f086ff7f784ce40a7e2"> 127</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#ae060fd9c16f95f086ff7f784ce40a7e2">LinearCombinationRelu</a>(<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html">Params</a> <span class="keyword">const</span> &params) {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  alpha_ = (params.<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a6c266e54081c08d25f4d6832ca24e673">alpha_ptr</a> ? *params.<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a6c266e54081c08d25f4d6832ca24e673">alpha_ptr</a> : params.<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a48d23248d58b6f7b5aa6aae7cd66afa0">alpha</a>);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  beta_ = (params.<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a2dfa5dc3c851915d39d27bf6b4cc68e6">beta_ptr</a> ? *params.<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a2dfa5dc3c851915d39d27bf6b4cc68e6">beta_ptr</a> : params.<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a7f3cb135884b5ef89bdef997159a3844">beta</a>);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  threshold_ = params.<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#af7df6ba63892ee5b7c7f96866e7865ce">threshold</a>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a6ba2de177b25375afc33043d665a5114"> 136</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a6ba2de177b25375afc33043d665a5114">is_source_needed</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">return</span> beta_ != <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(0);</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </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="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#aa630c8bf7a182a49159fc270ebd0f938"> 142</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#aa630c8bf7a182a49159fc270ebd0f938">set_k_partition</a>(<span class="keywordtype">int</span> k_partition) {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">if</span> (k_partition) {</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  beta_ = <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(1);</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</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> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a93c794d586c7d0a6054a24db70490539"> 150</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a14bfd5ef175cf1d0242cc3a3c28e130d">FragmentOutput</a> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a93c794d586c7d0a6054a24db70490539">operator()</a>(</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a37cb96ec3a7e16d88dc7402cd5246ce1">FragmentAccumulator</a> <span class="keyword">const</span> &accumulator, </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a14bfd5ef175cf1d0242cc3a3c28e130d">FragmentOutput</a> <span class="keyword">const</span> &source,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a> uniform = <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(0))<span class="keyword"> const </span>{</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// Convert source to interal compute numeric type</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="structcutlass_1_1NumericArrayConverter.html">NumericArrayConverter<ElementCompute, ElementOutput, kCount, Round></a> source_converter;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="structcutlass_1_1NumericArrayConverter.html">NumericArrayConverter<ElementCompute, ElementAccumulator, kCount, Round></a> accumulator_converter;</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>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a54909b2fb614bf006572ceb79a264d05">ComputeFragment</a> converted_source = source_converter(source);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a54909b2fb614bf006572ceb79a264d05">ComputeFragment</a> converted_accumulator = accumulator_converter(accumulator);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// Perform binary operations</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>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a54909b2fb614bf006572ceb79a264d05">ComputeFragment</a> intermediate;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="structcutlass_1_1multiplies.html">multiplies<ComputeFragment></a> mul_add_source;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="structcutlass_1_1multiply__add.html">multiply_add<ComputeFragment></a> mul_add_accumulator;</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>  <a class="code" href="structcutlass_1_1maximum.html">maximum<ComputeFragment></a> max_accumulator;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  intermediate = mul_add_source(beta_, converted_source); <span class="comment">// X = beta * C + uniform</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  intermediate = mul_add_accumulator(alpha_, converted_accumulator, intermediate); <span class="comment">// D = alpha * Accum + X</span></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  intermediate = max_accumulator(intermediate, threshold_);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// Convert to destination numeric type</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="structcutlass_1_1NumericArrayConverter.html">NumericArrayConverter<ElementOutput, ElementCompute, kCount, Round></a> destination_converter;</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>  <span class="keywordflow">return</span> destination_converter(intermediate);</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="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keyword">typename</span> ElementOutput_, </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordtype">int</span> Count, </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="namespacecutlass.html#aabe6b8ce223bf05f65a4721a3f5447a6">FloatRoundStyle</a> Round</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> ></div><div class="line"><a name="l00196"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html"> 196</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html">LinearCombinationRelu</a><ElementOutput_, Count, int, float, Round> {</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a4193c0aa3bf0a51bd7e13963d11fedbb"> 199</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a4193c0aa3bf0a51bd7e13963d11fedbb">ElementOutput</a> = ElementOutput_;</div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a0aecd1e678b3d3c06bb80a9c4f795ad9"> 200</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a0aecd1e678b3d3c06bb80a9c4f795ad9">ElementAccumulator</a> = int;</div><div class="line"><a name="l00201"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b"> 201</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> = float;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div><div class="line"><a name="l00203"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a1d809f513cad623975efcefc6bc496d2"> 203</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kCount = Count;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div><div class="line"><a name="l00205"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a8b815a6cf10f37160ce763030a81a2e0"> 205</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a8b815a6cf10f37160ce763030a81a2e0">FragmentOutput</a> = Array<ElementOutput, kCount>;</div><div class="line"><a name="l00206"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a1a98738c911a0fdc60933b43075e87ed"> 206</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a1a98738c911a0fdc60933b43075e87ed">FragmentAccumulator</a> = Array<ElementAccumulator, kCount>;</div><div class="line"><a name="l00207"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a2690ec31dbbcb0b647a4c1846d171ef6"> 207</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a2690ec31dbbcb0b647a4c1846d171ef6">ComputeFragment</a> = Array<ElementCompute, kCount>;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a367b140f62e78891d5d39c2211ff4905"> 209</a></span>  <span class="keyword">static</span> <a class="code" href="namespacecutlass.html#aabe6b8ce223bf05f65a4721a3f5447a6">FloatRoundStyle</a> <span class="keyword">const</span> kRound = Round;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00212"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html"> 212</a></span>  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#aab0a1bf972d12ad08acec38f10702bf0">Params</a> {</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span> </div><div class="line"><a name="l00214"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#a4a225cb1f8a09c643a8016024ccbf6cb"> 214</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> <a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#a4a225cb1f8a09c643a8016024ccbf6cb">alpha</a>; </div><div class="line"><a name="l00215"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#af607bd78ed05e98af8dfe0c413e25091"> 215</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> <a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#af607bd78ed05e98af8dfe0c413e25091">beta</a>; </div><div class="line"><a name="l00216"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#a80fba095fb3207fba9c9964b8ba64ee3"> 216</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> <a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#a80fba095fb3207fba9c9964b8ba64ee3">threshold</a>; </div><div class="line"><a name="l00217"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#aa4d227d5db2999f4738a207183fc4fc3"> 217</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> <span class="keyword">const</span> *<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#aa4d227d5db2999f4738a207183fc4fc3">alpha_ptr</a>; </div><div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#a3b26637eb910d79d8ae6a79011ca85e3"> 218</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> <span class="keyword">const</span> *<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#a3b26637eb910d79d8ae6a79011ca85e3">beta_ptr</a>; </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="comment">//</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="comment">//</span></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#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00225"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#ab4301431271a1a57a51904b8c00584b2"> 225</a></span>  <a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#ab4301431271a1a57a51904b8c00584b2">Params</a>(): </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  alpha(<a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a>(1)), </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  beta(<a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a>(0)),</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  threshold(<a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a>(0)),</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  alpha_ptr(<a class="code" href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a>), </div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  beta_ptr(<a class="code" href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a>) { }</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>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00233"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#abd772185bd19b9d2ed08aa0d1344581c"> 233</a></span>  <a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#abd772185bd19b9d2ed08aa0d1344581c">Params</a>(</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> alpha,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> beta,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> threshold = <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(0)</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  ): alpha(alpha), beta(beta), threshold(threshold), alpha_ptr(<a class="code" href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a>), beta_ptr(<a class="code" href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a>) {</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  }</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00242"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#abe3bc8635de57a97da921f89eb224368"> 242</a></span>  <a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#abe3bc8635de57a97da921f89eb224368">Params</a>(</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> <span class="keyword">const</span> *alpha_ptr,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> <span class="keyword">const</span> *beta_ptr,</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> threshold = <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(0)</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  ): alpha(0), beta(0), threshold(threshold), alpha_ptr(alpha_ptr), beta_ptr(beta_ptr) {</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </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">private</span>:</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="comment">//</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="comment">//</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>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> alpha_;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> beta_;</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> threshold_;</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00265"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#acca75dd2a19169f68aaaa9b84ffbb8b1"> 265</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#acca75dd2a19169f68aaaa9b84ffbb8b1">LinearCombinationRelu</a>(<a class="code" href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#aab0a1bf972d12ad08acec38f10702bf0">Params</a> <span class="keyword">const</span> &params) {</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>  alpha_ = (params.alpha_ptr ? *params.alpha_ptr : params.alpha);</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  beta_ = (params.beta_ptr ? *params.beta_ptr : params.beta);</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  threshold_ = params.threshold;</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> </div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00274"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#af360ea56761af5fe2904ad1d7ff799c3"> 274</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#af360ea56761af5fe2904ad1d7ff799c3">is_source_needed</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">return</span> beta_ != <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(0);</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  }</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00280"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a07d86a5da0dc3c7f1ab4859591ecd61e"> 280</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a07d86a5da0dc3c7f1ab4859591ecd61e">set_k_partition</a>(<span class="keywordtype">int</span> k_partition) {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">if</span> (k_partition) {</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  beta_ = <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(1);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  }</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  }</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00288"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#abb3916aa0408eb67e72809ccd80e03a5"> 288</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a8b815a6cf10f37160ce763030a81a2e0">FragmentOutput</a> <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#abb3916aa0408eb67e72809ccd80e03a5">operator()</a>(</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a1a98738c911a0fdc60933b43075e87ed">FragmentAccumulator</a> <span class="keyword">const</span> &accumulator, </div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a8b815a6cf10f37160ce763030a81a2e0">FragmentOutput</a> <span class="keyword">const</span> &source,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">ElementCompute</a> uniform = <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">ElementCompute</a>(0))<span class="keyword"> const </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="comment">// Convert source to interal compute numeric type</span></div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="structcutlass_1_1NumericArrayConverter.html">NumericArrayConverter<ElementCompute, ElementOutput, kCount, Round></a> source_converter;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <a class="code" href="structcutlass_1_1NumericArrayConverter.html">NumericArrayConverter<ElementCompute, ElementAccumulator, kCount, Round></a> accumulator_converter;</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>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a2690ec31dbbcb0b647a4c1846d171ef6">ComputeFragment</a> converted_source = source_converter(source);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a2690ec31dbbcb0b647a4c1846d171ef6">ComputeFragment</a> converted_accumulator = accumulator_converter(accumulator);</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>  <span class="comment">// Perform binary operations</span></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a2690ec31dbbcb0b647a4c1846d171ef6">ComputeFragment</a> intermediate;</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>  <a class="code" href="structcutlass_1_1multiplies.html">multiplies<ComputeFragment></a> mul_add_source;</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="structcutlass_1_1multiply__add.html">multiply_add<ComputeFragment></a> mul_add_accumulator;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  </div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <a class="code" href="structcutlass_1_1maximum.html">maximum<ComputeFragment></a> max_accumulator;</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> </div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  intermediate = mul_add_source(beta_, converted_source); <span class="comment">// X = beta * C + uniform</span></div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  intermediate = mul_add_accumulator(alpha_, converted_accumulator, intermediate); <span class="comment">// D = alpha * Accum + X</span></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>  <span class="comment">// Clamp to theshold</span></div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  intermediate = max_accumulator(intermediate, threshold_);</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="comment">// Convert back to accumulator data type</span></div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a1a98738c911a0fdc60933b43075e87ed">FragmentAccumulator</a> scaled_accumulator;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> </div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < <a class="code" href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a70f9d8e1eef1ab9f67168af75442dfd9">kCount</a>; ++i) {</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  scaled_accumulator[i] = <span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(intermediate[i]);</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> </div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="comment">// Convert to destination numeric type and pack</span></div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="structcutlass_1_1NumericArrayConverter.html">NumericArrayConverter<ElementOutput, ElementAccumulator, kCount, Round></a> destination_converter;</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span> </div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">return</span> destination_converter(scaled_accumulator);</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> };</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </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> } <span class="comment">// namespace thread</span></div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> } <span class="comment">// namespace epilogue</span></div><div class="line"><a name="l00334"></a><span class="lineno"> 334</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="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a93c794d586c7d0a6054a24db70490539"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a93c794d586c7d0a6054a24db70490539">cutlass::epilogue::thread::LinearCombinationRelu::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE FragmentOutput operator()(FragmentAccumulator const &accumulator, FragmentOutput const &source, ElementCompute uniform=ElementCompute(0)) const </div><div class="ttdoc">Computes linear scaling: D = alpha * accumulator + beta * source. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:150</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_aab0a1bf972d12ad08acec38f10702bf0"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#aab0a1bf972d12ad08acec38f10702bf0">cutlass::epilogue::thread::LinearCombinationRelu::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params()</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:87</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_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_a1f25f8df366d33bc4b256c92869ec20e"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a1f25f8df366d33bc4b256c92869ec20e">cutlass::epilogue::thread::LinearCombinationRelu::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(ElementCompute const *alpha_ptr, ElementCompute const *beta_ptr, ElementCompute threshold=ElementCompute(0))</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:104</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_a7f3cb135884b5ef89bdef997159a3844"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a7f3cb135884b5ef89bdef997159a3844">cutlass::epilogue::thread::LinearCombinationRelu::Params::beta</a></div><div class="ttdeci">ElementCompute beta</div><div class="ttdoc">scales source tensor </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:77</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_abd772185bd19b9d2ed08aa0d1344581c"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#abd772185bd19b9d2ed08aa0d1344581c">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(ElementCompute alpha, ElementCompute beta, ElementCompute threshold=ElementCompute(0))</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:233</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a14bfd5ef175cf1d0242cc3a3c28e130d"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a14bfd5ef175cf1d0242cc3a3c28e130d">cutlass::epilogue::thread::LinearCombinationRelu::FragmentOutput</a></div><div class="ttdeci">Array< ElementOutput, kCount > FragmentOutput</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:67</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a37cb96ec3a7e16d88dc7402cd5246ce1"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a37cb96ec3a7e16d88dc7402cd5246ce1">cutlass::epilogue::thread::LinearCombinationRelu::FragmentAccumulator</a></div><div class="ttdeci">Array< ElementAccumulator, kCount > FragmentAccumulator</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:68</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_a3b26637eb910d79d8ae6a79011ca85e3"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#a3b26637eb910d79d8ae6a79011ca85e3">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::beta_ptr</a></div><div class="ttdeci">ElementCompute const * beta_ptr</div><div class="ttdoc">pointer to source scalar - if not null, loads it from memory </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:218</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html">cutlass::epilogue::thread::LinearCombinationRelu</a></div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:58</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_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_a2dfa5dc3c851915d39d27bf6b4cc68e6"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a2dfa5dc3c851915d39d27bf6b4cc68e6">cutlass::epilogue::thread::LinearCombinationRelu::Params::beta_ptr</a></div><div class="ttdeci">ElementCompute const * beta_ptr</div><div class="ttdoc">pointer to source scalar - if not null, loads it from memory </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:80</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_acca75dd2a19169f68aaaa9b84ffbb8b1"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#acca75dd2a19169f68aaaa9b84ffbb8b1">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::LinearCombinationRelu</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE LinearCombinationRelu(Params const &params)</div><div class="ttdoc">Constructs the function object, possibly loading from pointers in host memory. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:265</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a21856d54ce2247edfc696b475ffa7a11"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a21856d54ce2247edfc696b475ffa7a11">cutlass::epilogue::thread::LinearCombinationRelu::ElementCompute</a></div><div class="ttdeci">ElementCompute_ ElementCompute</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:63</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="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a07d86a5da0dc3c7f1ab4859591ecd61e"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a07d86a5da0dc3c7f1ab4859591ecd61e">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::set_k_partition</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void set_k_partition(int k_partition)</div><div class="ttdoc">Functionally required for serial reduction in the epilogue. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:280</div></div>
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<div class="ttc" id="numeric__conversion_8h_html"><div class="ttname"><a href="numeric__conversion_8h.html">numeric_conversion.h</a></div><div class="ttdoc">Boost-like numeric conversion operator for CUTLASS numeric types. </div></div>
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<div class="ttc" id="platform_8h_html_ab979d9d4b4923f7c54d6caa6e1a61936"><div class="ttname"><a href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a></div><div class="ttdeci">#define nullptr</div><div class="ttdoc">nullptr </div><div class="ttdef"><b>Definition:</b> platform.h:144</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_a4a225cb1f8a09c643a8016024ccbf6cb"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#a4a225cb1f8a09c643a8016024ccbf6cb">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::alpha</a></div><div class="ttdeci">ElementCompute alpha</div><div class="ttdoc">scales accumulators </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:214</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_ae060fd9c16f95f086ff7f784ce40a7e2"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#ae060fd9c16f95f086ff7f784ce40a7e2">cutlass::epilogue::thread::LinearCombinationRelu::LinearCombinationRelu</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE LinearCombinationRelu(Params const &params)</div><div class="ttdoc">Constructs the function object, possibly loading from pointers in host memory. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:127</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_af607bd78ed05e98af8dfe0c413e25091"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#af607bd78ed05e98af8dfe0c413e25091">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::beta</a></div><div class="ttdeci">ElementCompute beta</div><div class="ttdoc">scales source tensor </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:215</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_af7df6ba63892ee5b7c7f96866e7865ce"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#af7df6ba63892ee5b7c7f96866e7865ce">cutlass::epilogue::thread::LinearCombinationRelu::Params::threshold</a></div><div class="ttdeci">ElementCompute threshold</div><div class="ttdoc">Relu threshold. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:78</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a8b815a6cf10f37160ce763030a81a2e0"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a8b815a6cf10f37160ce763030a81a2e0">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::FragmentOutput</a></div><div class="ttdeci">Array< ElementOutput, kCount > FragmentOutput</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:205</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_afcaa9ef1be508e3dd08a530266cb346f"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#afcaa9ef1be508e3dd08a530266cb346f">cutlass::epilogue::thread::LinearCombinationRelu::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(ElementCompute alpha, ElementCompute beta, ElementCompute threshold=ElementCompute(0))</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:95</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="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a80f6b354f863f10380365994ba0a08ee"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a80f6b354f863f10380365994ba0a08ee">cutlass::epilogue::thread::LinearCombinationRelu::kRound</a></div><div class="ttdeci">static FloatRoundStyle const kRound</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:71</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="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a54909b2fb614bf006572ceb79a264d05"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a54909b2fb614bf006572ceb79a264d05">cutlass::epilogue::thread::LinearCombinationRelu::ComputeFragment</a></div><div class="ttdeci">Array< ElementCompute, kCount > ComputeFragment</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:69</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_aa630c8bf7a182a49159fc270ebd0f938"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#aa630c8bf7a182a49159fc270ebd0f938">cutlass::epilogue::thread::LinearCombinationRelu::set_k_partition</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void set_k_partition(int k_partition)</div><div class="ttdoc">Functionally required for serial reduction in the epilogue. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:142</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_ab4301431271a1a57a51904b8c00584b2"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#ab4301431271a1a57a51904b8c00584b2">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params()</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:225</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a2690ec31dbbcb0b647a4c1846d171ef6"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a2690ec31dbbcb0b647a4c1846d171ef6">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::ComputeFragment</a></div><div class="ttdeci">Array< ElementCompute, kCount > ComputeFragment</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:207</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a4193c0aa3bf0a51bd7e13963d11fedbb"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a4193c0aa3bf0a51bd7e13963d11fedbb">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::ElementOutput</a></div><div class="ttdeci">ElementOutput_ ElementOutput</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:199</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_af360ea56761af5fe2904ad1d7ff799c3"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#af360ea56761af5fe2904ad1d7ff799c3">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::is_source_needed</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE bool is_source_needed() const </div><div class="ttdoc">Returns true if source is needed. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:274</div></div>
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<div class="ttc" id="namespacecutlass_html_aabe6b8ce223bf05f65a4721a3f5447a6a280b2492e1afdb76d63ad6a4cd4f38d7"><div class="ttname"><a href="namespacecutlass.html#aabe6b8ce223bf05f65a4721a3f5447a6a280b2492e1afdb76d63ad6a4cd4f38d7">cutlass::FloatRoundStyle::round_to_nearest</a></div><div class="ttdoc">round to nearest even </div></div>
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<div class="ttc" id="namespacecutlass_html_aabe6b8ce223bf05f65a4721a3f5447a6"><div class="ttname"><a href="namespacecutlass.html#aabe6b8ce223bf05f65a4721a3f5447a6">cutlass::FloatRoundStyle</a></div><div class="ttdeci">FloatRoundStyle</div><div class="ttdef"><b>Definition:</b> numeric_conversion.h:43</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_aa4d227d5db2999f4738a207183fc4fc3"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#aa4d227d5db2999f4738a207183fc4fc3">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::alpha_ptr</a></div><div class="ttdeci">ElementCompute const * alpha_ptr</div><div class="ttdoc">pointer to accumulator scalar - if not null, loads it from memory </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:217</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_abe3bc8635de57a97da921f89eb224368"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#abe3bc8635de57a97da921f89eb224368">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(ElementCompute const *alpha_ptr, ElementCompute const *beta_ptr, ElementCompute threshold=ElementCompute(0))</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:242</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3_html_a80fba095fb3207fba9c9964b8ba64ee3"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_00274a94522c46cd041d0b10d484e2ef3.html#a80fba095fb3207fba9c9964b8ba64ee3">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::Params::threshold</a></div><div class="ttdeci">ElementCompute threshold</div><div class="ttdoc">Relu threshold. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:216</div></div>
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<div class="ttc" id="structcutlass_1_1NumericArrayConverter_html"><div class="ttname"><a href="structcutlass_1_1NumericArrayConverter.html">cutlass::NumericArrayConverter</a></div><div class="ttdoc">Conversion operator for Array. </div><div class="ttdef"><b>Definition:</b> numeric_conversion.h:294</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_a48d23248d58b6f7b5aa6aae7cd66afa0"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a48d23248d58b6f7b5aa6aae7cd66afa0">cutlass::epilogue::thread::LinearCombinationRelu::Params::alpha</a></div><div class="ttdeci">ElementCompute alpha</div><div class="ttdoc">scales accumulators </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:76</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a0aecd1e678b3d3c06bb80a9c4f795ad9"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a0aecd1e678b3d3c06bb80a9c4f795ad9">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::ElementAccumulator</a></div><div class="ttdeci">int ElementAccumulator</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:200</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a09d862a9adfbcdceb8bc45ffc8b1093b"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a09d862a9adfbcdceb8bc45ffc8b1093b">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::ElementCompute</a></div><div class="ttdeci">float ElementCompute</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:201</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_ad1acf74be026cb3f6165ae02d779ddd4"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#ad1acf74be026cb3f6165ae02d779ddd4">cutlass::epilogue::thread::LinearCombinationRelu::ElementAccumulator</a></div><div class="ttdeci">ElementAccumulator_ ElementAccumulator</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:62</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a6ba2de177b25375afc33043d665a5114"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a6ba2de177b25375afc33043d665a5114">cutlass::epilogue::thread::LinearCombinationRelu::is_source_needed</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE bool is_source_needed() const </div><div class="ttdoc">Returns true if source is needed. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:136</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_abb3916aa0408eb67e72809ccd80e03a5"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#abb3916aa0408eb67e72809ccd80e03a5">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE FragmentOutput operator()(FragmentAccumulator const &accumulator, FragmentOutput const &source, ElementCompute uniform=ElementCompute(0)) const </div><div class="ttdoc">Computes linear scaling: D = alpha * accumulator + beta * source. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:288</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_a70f9d8e1eef1ab9f67168af75442dfd9"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#a70f9d8e1eef1ab9f67168af75442dfd9">cutlass::epilogue::thread::LinearCombinationRelu::kCount</a></div><div class="ttdeci">static int const kCount</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:65</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_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html_a6c266e54081c08d25f4d6832ca24e673"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html#a6c266e54081c08d25f4d6832ca24e673">cutlass::epilogue::thread::LinearCombinationRelu::Params::alpha_ptr</a></div><div class="ttdeci">ElementCompute const * alpha_ptr</div><div class="ttdoc">pointer to accumulator scalar - if not null, loads it from memory </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:79</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4_html_a1a98738c911a0fdc60933b43075e87ed"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_3_01ElementOutput___00_01Count_00_01int_00_01float_00_01Round_01_4.html#a1a98738c911a0fdc60933b43075e87ed">cutlass::epilogue::thread::LinearCombinationRelu< ElementOutput_, Count, int, float, Round >::FragmentAccumulator</a></div><div class="ttdeci">Array< ElementAccumulator, kCount > FragmentAccumulator</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:206</div></div>
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<div class="ttc" id="functional_8h_html"><div class="ttname"><a href="functional_8h.html">functional.h</a></div><div class="ttdoc">Define basic numeric operators with specializations for Array<T, N>. SIMD-ize where possible...</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_1_1Params.html">cutlass::epilogue::thread::LinearCombinationRelu::Params</a></div><div class="ttdoc">Host-constructable parameters structure. </div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:74</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu_html_acb1b391e1c4d1573622cb7ee108d74d7"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1thread_1_1LinearCombinationRelu.html#acb1b391e1c4d1573622cb7ee108d74d7">cutlass::epilogue::thread::LinearCombinationRelu::ElementOutput</a></div><div class="ttdeci">ElementOutput_ ElementOutput</div><div class="ttdef"><b>Definition:</b> linear_combination_relu.h:61</div></div>
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</a> 1.8.11
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