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<div class="title">direct_epilogue_tensor_op.h</div> </div>
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<a href="direct__epilogue__tensor__op_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> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="include_2cutlass_2gemm_2gemm_8h.html">cutlass/gemm/gemm.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>threadblock {</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="l00047"></a><span class="lineno"> 47</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">typename</span> Shape_, </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">typename</span> Operator_, </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordtype">int</span> PartitionsK, </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">typename</span> Element_, </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">typename</span> OutputOp_, </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">typename</span> ConvertOp_ </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> ></div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html"> 55</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html">DirectEpilogueTensorOp</a> {</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="keyword">public</span>:</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_1threadblock_1_1DirectEpilogueTensorOp.html#a7b418c651040fe885e179a5e51220770"> 58</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a7b418c651040fe885e179a5e51220770">Shape</a> = Shape_;</div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#aa927856824f1200323c393afbb6f90ef"> 59</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#aa927856824f1200323c393afbb6f90ef">Operator</a> = Operator_;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">WarpCount</a> = <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape</a><</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  Shape::kM / Operator::Shape::kM,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  Shape::kN / Operator::Shape::kN,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  PartitionsK,</div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a231c86e48c558336736dcc58c2e9783a"> 66</a></span>  >;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(PartitionsK == 1, </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="stringliteral">"Direct epilogue cannot be used with when the threadblock tile is partitioned along the K dimension."</span>);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a4e03d7b83604c014d530353a67ba3356"> 72</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a4e03d7b83604c014d530353a67ba3356">FragmentC</a> = <span class="keyword">typename</span> Operator::FragmentC;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a7444586033d2448bded6df955f1408aa"> 75</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a7444586033d2448bded6df955f1408aa">Element</a> = Element_;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#affbcb5b699be059628d3d37a589b2667"> 78</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">Layout</a> = <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a91c018d7741a34a36e45d6c708d0b23e"> 81</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a91c018d7741a34a36e45d6c708d0b23e">OutputOp</a> = OutputOp_;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a71707c91f25720e027e9e3b9f7a8a113"> 84</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a71707c91f25720e027e9e3b9f7a8a113">ConvertOp</a> = ConvertOp_;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#ad60aa76f8f35170b9fc9ee8e68d71ade"> 87</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#ad60aa76f8f35170b9fc9ee8e68d71ade">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<Element, Layout::kRank, Layout></a>;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html"> 92</a></span>  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html">Params</a> {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">//</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">//</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a89d406e705b7817243e3aa9d4253bb14"> 98</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a89d406e705b7817243e3aa9d4253bb14">destination_ref</a>;</div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a154450b8a74d1f1bb62d3d9e3b330597"> 99</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a154450b8a74d1f1bb62d3d9e3b330597">source_ref</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"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a0c230d7407585f6cd6221ebcd5966a0d"> 101</a></span>  <span class="keyword">typename</span> OutputOp::Params <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a0c230d7407585f6cd6221ebcd5966a0d">output_op</a>;</div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a97f1044e7b7cec1ddd1f120b8b7539f2"> 102</a></span>  <span class="keyword">typename</span> ConvertOp::Params <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a97f1044e7b7cec1ddd1f120b8b7539f2">convert_op</a>;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="comment">//</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">//</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a7890b7910f0b680ff5b9230d91efc2ef"> 110</a></span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a7890b7910f0b680ff5b9230d91efc2ef">Params</a>(</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> destination_ref_,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> source_ref_,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keyword">typename</span> OutputOp::Params output_op_,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keyword">typename</span> ConvertOp::Params convert_op_</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  ):</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  destination_ref(destination_ref_),</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  source_ref(source_ref_),</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  output_op(output_op_),</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  convert_op(convert_op_) {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#ae9578b799d3eb7d566112abb51146ec2"> 125</a></span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#ae9578b799d3eb7d566112abb51146ec2">Params</a>(</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> destination_ref_,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> source_ref_,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">typename</span> OutputOp::Params output_op_</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  ): </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html">Params</a>(</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  destination_ref, </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  source_ref, </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  output_op, </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a71707c91f25720e027e9e3b9f7a8a113">ConvertOp</a>::<a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html">Params</a>()</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  ) { }</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  };</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1SharedStorage.html"> 139</a></span>  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1SharedStorage.html">SharedStorage</a> { };</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a91c018d7741a34a36e45d6c708d0b23e">OutputOp</a> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a0c230d7407585f6cd6221ebcd5966a0d">output_op</a>; </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a71707c91f25720e027e9e3b9f7a8a113">ConvertOp</a> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a97f1044e7b7cec1ddd1f120b8b7539f2">convert_op</a>; </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>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> destination_ref_; </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> source_ref_; </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a> warp_origin_; </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a7a64b4523780869f4b7dde2225572b2f"> 155</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a7a64b4523780869f4b7dde2225572b2f">DirectEpilogueTensorOp</a>(</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html">Params</a> <span class="keyword">const</span> &params, </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1SharedStorage.html">SharedStorage</a> &shared_storage, </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordtype">int</span> thread_idx, </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordtype">int</span> warp_idx, </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordtype">int</span> lane_idx </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>  output_op(params.output_op),</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  convert_op(params.convert_op),</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  destination_ref_(params.<a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a89d406e705b7817243e3aa9d4253bb14">destination_ref</a>),</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  source_ref_(params.<a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a154450b8a74d1f1bb62d3d9e3b330597">source_ref</a>) {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="comment">// Compute warp location within threadblock tile by mapping the warp_id to three coordinates:</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="comment">//</span></div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="comment">// _m: the warp's position within the threadblock along the M dimension</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="comment">// _n: the warp's position within the threadblock along the N dimension</span></div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="comment">// _k: the warp's position within the threadblock along the K dimension</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>  <span class="keywordtype">int</span> warp_mn = warp_idx % (<a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a7a47fe0c44571a0a68a43c5a47cf676a">WarpCount::kM</a> * <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a9fcbaa4b47b83d0c8a09979ad5c98a1e">WarpCount::kN</a>);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordtype">int</span> warp_m = warp_mn % <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a7a47fe0c44571a0a68a43c5a47cf676a">WarpCount::kM</a>;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordtype">int</span> warp_n = warp_mn / <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a7a47fe0c44571a0a68a43c5a47cf676a">WarpCount::kM</a>;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  warp_origin_ = <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a>{</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  warp_m * Operator::Shape::kM, </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  warp_n * Operator::Shape::kN</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>  destination_ref_.<a class="code" href="classcutlass_1_1TensorRef.html#a4bed879c428963070de8ffbdc5d6e4f9">add_coord_offset</a>(warp_origin_);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  source_ref_.<a class="code" href="classcutlass_1_1TensorRef.html#a4bed879c428963070de8ffbdc5d6e4f9">add_coord_offset</a>(warp_origin_);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  }</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00189"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a8a8dd685344c17952aed17bcd9d6b831"> 189</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a8a8dd685344c17952aed17bcd9d6b831">operator()</a>(</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html">gemm::GemmCoord</a> problem_size, </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html">gemm::GemmCoord</a> tb_tile_coord, </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a4e03d7b83604c014d530353a67ba3356">FragmentC</a> <span class="keyword">const</span> &accumulators) { </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a> thread_origin = </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a>{tb_tile_coord.<a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html#a93515a41db6c4b7e9101067f60d41b8c">m</a>() * Shape::kM, tb_tile_coord.<a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html#a1b29d2cb15360ad5499216859ad5436a">n</a>() * Shape::kN} + warp_origin_;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">using</span> MmaIterations = <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape</a><</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  Operator::Shape::kM / Operator::Policy::Operator::Shape::kM,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  Operator::Shape::kN / Operator::Policy::Operator::Shape::kN</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  >;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="comment">// Assume accumulator tile is an arrangement of 8-by-8 tiles replicated over the entire</span></div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="comment">// shape, with each quad mapped to one row and each thread mapped to 1/4 of the elements</span></div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="comment">// of that row. The accumulators within one row are assumed to be consecutive.</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordtype">int</span> <span class="keyword">const</span> kElementsPerAccess = Operator::Policy::Operator::Shape::kN / 4;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordtype">int</span> <span class="keyword">const</span> kRowsPerTile = 8;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keywordtype">int</span> <span class="keyword">const</span> kAccumulatorRows = Operator::Policy::Operator::Shape::kM / kRowsPerTile;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> mma_n = 0; mma_n < MmaIterations::kN; ++mma_n) {</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> mma_m = 0; mma_m < MmaIterations::kM; ++mma_m) {</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordtype">int</span> mma_accum_start = kAccumulatorRows * kElementsPerAccess * </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  (mma_m * MmaIterations::kN + mma_n);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> row = 0; row < kAccumulatorRows; ++row) {</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> col = 0; col < kElementsPerAccess; ++col) {</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keywordtype">int</span> accum_m = mma_m * Operator::Policy::Operator::Shape::kM + row * kRowsPerTile;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordtype">int</span> accum_n = mma_n * Operator::Policy::Operator::Shape::kN + col;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordtype">int</span> idx = mma_accum_start + row * kElementsPerAccess + col;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a> accum_coord = <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a>{accum_m, accum_n};</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a> thread_coord = thread_origin + accum_coord;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">if</span> (thread_coord < <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a>{problem_size.<a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html#a93515a41db6c4b7e9101067f60d41b8c">m</a>(), problem_size.<a class="code" href="structcutlass_1_1gemm_1_1GemmCoord.html#a1b29d2cb15360ad5499216859ad5436a">n</a>()}) {</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">typename</span> ConvertOp::result_type converted_accum = <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a97f1044e7b7cec1ddd1f120b8b7539f2">convert_op</a>(accumulators[idx]);</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keyword">typename</span> OutputOp::result_type output = <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a0c230d7407585f6cd6221ebcd5966a0d">output_op</a>(converted_accum, source_ref_.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(accum_coord));</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  destination_ref_.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(accum_coord) = output;</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>  }</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  }</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  }</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> };</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </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> } <span class="comment">// namespace threadblock</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> } <span class="comment">// namespace epilogue</span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> } <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html">cutlass::epilogue::threadblock::DirectEpilogueTensorOp</a></div><div class="ttdoc">Epilogue operator. </div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:55</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html_a7a47fe0c44571a0a68a43c5a47cf676a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html#a7a47fe0c44571a0a68a43c5a47cf676a">cutlass::gemm::GemmShape::kM</a></div><div class="ttdeci">static int const kM</div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:58</div></div>
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<div class="ttc" id="structcutlass_1_1MatrixShape_html"><div class="ttname"><a href="structcutlass_1_1MatrixShape.html">cutlass::MatrixShape</a></div><div class="ttdoc">Describes the size of a matrix tile. </div><div class="ttdef"><b>Definition:</b> matrix_shape.h:42</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params_html_ae9578b799d3eb7d566112abb51146ec2"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#ae9578b799d3eb7d566112abb51146ec2">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(TensorRef destination_ref_, TensorRef source_ref_, typename OutputOp::Params output_op_)</div><div class="ttdoc">Constructs a Params object. </div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:125</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::Params</a></div><div class="ttdoc">Parameters structure for host-constructible state. </div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:92</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="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_html_a8a8dd685344c17952aed17bcd9d6b831"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a8a8dd685344c17952aed17bcd9d6b831">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::operator()</a></div><div class="ttdeci">CUTLASS_DEVICE void operator()(gemm::GemmCoord problem_size, gemm::GemmCoord tb_tile_coord, FragmentC const &accumulators)</div><div class="ttdoc">Streams the result to global memory. </div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:189</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params_html_a89d406e705b7817243e3aa9d4253bb14"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a89d406e705b7817243e3aa9d4253bb14">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::Params::destination_ref</a></div><div class="ttdeci">TensorRef destination_ref</div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:98</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1GemmCoord_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmCoord.html">cutlass::gemm::GemmCoord</a></div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:94</div></div>
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<div class="ttc" id="include_2cutlass_2gemm_2gemm_8h_html"><div class="ttname"><a href="include_2cutlass_2gemm_2gemm_8h.html">gemm.h</a></div><div class="ttdoc">Defines common types used for all GEMM-like operators. </div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1GemmCoord_html_a1b29d2cb15360ad5499216859ad5436a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmCoord.html#a1b29d2cb15360ad5499216859ad5436a">cutlass::gemm::GemmCoord::n</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index const & n() const </div><div class="ttdoc">Returns the GEMM N coordinate. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:137</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_html_ad60aa76f8f35170b9fc9ee8e68d71ade"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#ad60aa76f8f35170b9fc9ee8e68d71ade">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::TensorRef</a></div><div class="ttdeci">TensorRef< Element, Layout::kRank, Layout > TensorRef</div><div class="ttdoc">Reference to source and destination tensors. </div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:87</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a4bed879c428963070de8ffbdc5d6e4f9"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a4bed879c428963070de8ffbdc5d6e4f9">cutlass::TensorRef::add_coord_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef & add_coord_offset(TensorCoord const &coord)</div><div class="ttdoc">Adds an offset to each pointer. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:326</div></div>
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<div class="ttc" id="array_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div><div class="ttdoc">Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...</div></div>
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<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params_html_a154450b8a74d1f1bb62d3d9e3b330597"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a154450b8a74d1f1bb62d3d9e3b330597">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::Params::source_ref</a></div><div class="ttdeci">TensorRef source_ref</div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:99</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_html_a7a64b4523780869f4b7dde2225572b2f"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a7a64b4523780869f4b7dde2225572b2f">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::DirectEpilogueTensorOp</a></div><div class="ttdeci">CUTLASS_DEVICE DirectEpilogueTensorOp(Params const &params, SharedStorage &shared_storage, int thread_idx, int warp_idx, int lane_idx)</div><div class="ttdoc">Constructor. </div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:155</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params_html_a0c230d7407585f6cd6221ebcd5966a0d"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a0c230d7407585f6cd6221ebcd5966a0d">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::Params::output_op</a></div><div class="ttdeci">OutputOp::Params output_op</div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:101</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params_html_a97f1044e7b7cec1ddd1f120b8b7539f2"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a97f1044e7b7cec1ddd1f120b8b7539f2">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::Params::convert_op</a></div><div class="ttdeci">ConvertOp::Params convert_op</div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:102</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html"><div class="ttname"><a href="classcutlass_1_1TensorRef.html">cutlass::TensorRef< Element, Layout::kRank, Layout ></a></div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params_html_a7890b7910f0b680ff5b9230d91efc2ef"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1Params.html#a7890b7910f0b680ff5b9230d91efc2ef">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(TensorRef destination_ref_, TensorRef source_ref_, typename OutputOp::Params output_op_, typename ConvertOp::Params convert_op_)</div><div class="ttdoc">Constructs a Params object. </div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:110</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1SharedStorage_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_1_1SharedStorage.html">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::SharedStorage</a></div><div class="ttdoc">Shared storage allocation needed by the epilogue. </div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:139</div></div>
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<div class="ttc" id="cutlass_8h_html_a28c2443a142676d3d71effdae1a986b1"><div class="ttname"><a href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="ttdeci">#define CUTLASS_HOST_DEVICE</div><div class="ttdef"><b>Definition:</b> cutlass.h:89</div></div>
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<div class="ttc" id="numeric__types_8h_html"><div class="ttname"><a href="numeric__types_8h.html">numeric_types.h</a></div><div class="ttdoc">Top-level include for all CUTLASS numeric types. </div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html">cutlass::gemm::GemmShape</a></div><div class="ttdoc">Shape of a matrix multiply-add operation. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:57</div></div>
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<div class="ttc" id="platform_8h_html_adde4c9ea91b753491851361a4198c009"><div class="ttname"><a href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a></div><div class="ttdeci">#define static_assert(__e, __m)</div><div class="ttdef"><b>Definition:</b> platform.h:153</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_html_a4e03d7b83604c014d530353a67ba3356"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a4e03d7b83604c014d530353a67ba3356">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::FragmentC</a></div><div class="ttdeci">typename Operator::FragmentC FragmentC</div><div class="ttdoc">Accumulator tile is really the warp-scoped tile. </div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:72</div></div>
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<div class="ttc" id="classcutlass_1_1layout_1_1RowMajor_html"><div class="ttname"><a href="classcutlass_1_1layout_1_1RowMajor.html">cutlass::layout::RowMajor</a></div><div class="ttdoc">Mapping function for row-major matrices. </div><div class="ttdef"><b>Definition:</b> layout/matrix.h:50</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_html_aa927856824f1200323c393afbb6f90ef"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#aa927856824f1200323c393afbb6f90ef">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::Operator</a></div><div class="ttdeci">Operator_ Operator</div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:59</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a8758907a1c9b1fcd00e7ece626d03b76"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">cutlass::TensorRef::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Reference at(TensorCoord const &coord) const </div><div class="ttdoc">Returns a reference to the element at a given Coord. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:307</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_html_a91c018d7741a34a36e45d6c708d0b23e"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a91c018d7741a34a36e45d6c708d0b23e">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::OutputOp</a></div><div class="ttdeci">OutputOp_ OutputOp</div><div class="ttdoc">Function operator computing final output. </div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:81</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1GemmCoord_html_a93515a41db6c4b7e9101067f60d41b8c"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmCoord.html#a93515a41db6c4b7e9101067f60d41b8c">cutlass::gemm::GemmCoord::m</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index const & m() const </div><div class="ttdoc">Returns the GEMM M coordinate. </div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:129</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_html_a71707c91f25720e027e9e3b9f7a8a113"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a71707c91f25720e027e9e3b9f7a8a113">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::ConvertOp</a></div><div class="ttdeci">ConvertOp_ ConvertOp</div><div class="ttdoc">Conversion operator to shared memory. </div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:84</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_1MatrixCoord_html"><div class="ttname"><a href="structcutlass_1_1MatrixCoord.html">cutlass::MatrixCoord</a></div><div class="ttdef"><b>Definition:</b> matrix_coord.h:39</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_html_a7444586033d2448bded6df955f1408aa"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a7444586033d2448bded6df955f1408aa">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdoc">Data type of output tensor. </div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:75</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp_html_a7b418c651040fe885e179a5e51220770"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1DirectEpilogueTensorOp.html#a7b418c651040fe885e179a5e51220770">cutlass::epilogue::threadblock::DirectEpilogueTensorOp::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> direct_epilogue_tensor_op.h:58</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html_a9fcbaa4b47b83d0c8a09979ad5c98a1e"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html#a9fcbaa4b47b83d0c8a09979ad5c98a1e">cutlass::gemm::GemmShape::kN</a></div><div class="ttdeci">static int const kN</div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:59</div></div>
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