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<a href="default__epilogue__wmma__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="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.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__types_8h.html">cutlass/numeric_types.h</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="array_8h.html">cutlass/array.h</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</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="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include "<a class="code" href="linear__combination_8h.html">cutlass/epilogue/thread/linear_combination.h</a>"</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="conversion__op_8h.html">cutlass/epilogue/thread/conversion_op.h</a>"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include "<a class="code" href="reduction__op_8h.html">cutlass/epilogue/thread/reduction_op.h</a>"</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor">#include "<a class="code" href="regular__tile__iterator__pitch__linear_8h.html">cutlass/transform/threadblock/regular_tile_iterator_pitch_linear.h</a>"</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#include "<a class="code" href="fragment__iterator__wmma__tensor__op_8h.html">cutlass/epilogue/warp/fragment_iterator_wmma_tensor_op.h</a>"</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor">#include "<a class="code" href="tile__iterator__wmma__tensor__op_8h.html">cutlass/epilogue/warp/tile_iterator_wmma_tensor_op.h</a>"</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor">#include "<a class="code" href="default__thread__map__wmma__tensor__op_8h.html">cutlass/epilogue/threadblock/default_thread_map_wmma_tensor_op.h</a>"</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor">#include "<a class="code" href="epilogue_2threadblock_2predicated__tile__iterator_8h.html">cutlass/epilogue/threadblock/predicated_tile_iterator.h</a>"</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor">#include "<a class="code" href="shared__load__iterator_8h.html">cutlass/epilogue/threadblock/shared_load_iterator.h</a>"</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor">#include "<a class="code" href="epilogue_8h.html">cutlass/epilogue/threadblock/epilogue.h</a>"</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="keyword">namespace </span>epilogue {</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="keyword">namespace </span>threadblock {</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> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">typename</span> WarpMmaTensorOp_,</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordtype">int</span> PartitionsK,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">typename</span> OutputOp_,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordtype">int</span> ElementsPerAccess</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="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html"> 71</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html">DefaultEpilogueWmmaTensorOp</a> {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#afe7f92a5a53264e2f8eaa79c1e1d5640"> 73</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#afe7f92a5a53264e2f8eaa79c1e1d5640">Shape</a> = Shape_;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a37c63903349ade88068fc51d1d86909d"> 74</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a37c63903349ade88068fc51d1d86909d">WarpMmaTensorOp</a> = WarpMmaTensorOp_;</div><div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a4a1949f471e74465b1a92d88162747b0"> 75</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a4a1949f471e74465b1a92d88162747b0">kPartitionsK</a> = PartitionsK;</div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#aeaa2ad8ce4948b2f9f67c5527eeed8a8"> 76</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#aeaa2ad8ce4948b2f9f67c5527eeed8a8">OutputOp</a> = OutputOp_;</div><div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a3a463148ab913accd64ad83757df869d"> 77</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a3a463148ab913accd64ad83757df869d">kElementsPerAccess</a> = ElementsPerAccess;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a8df0cd1c54293b862f1861122f6d5cd7"> 79</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a8df0cd1c54293b862f1861122f6d5cd7">ElementOutput</a> = <span class="keyword">typename</span> OutputOp::ElementOutput;</div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a37f9240209d3a0f2b17ea9a4b1f0819c"> 80</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a37f9240209d3a0f2b17ea9a4b1f0819c">LayoutC</a> = <span class="keyword">typename</span> WarpMmaTensorOp::LayoutC;</div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#aa8784b8a54b8eddd7b29f454a8614d91"> 81</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#aa8784b8a54b8eddd7b29f454a8614d91">ElementAccumulator</a> = <span class="keyword">typename</span> WarpMmaTensorOp::ElementC;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="comment">//</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="comment">// Thread map</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">//</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#ada1d63c4342730031e25503a06f5e590">OutputTileThreadMap</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapWmmaTensorOp.html">cutlass::epilogue::threadblock::DefaultThreadMapWmmaTensorOp</a><</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#afe7f92a5a53264e2f8eaa79c1e1d5640">Shape</a>,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">typename</span> WarpMmaTensorOp::Shape,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">typename</span> WarpMmaTensorOp::Policy::Operator::Shape,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a4a1949f471e74465b1a92d88162747b0">kPartitionsK</a>,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a8df0cd1c54293b862f1861122f6d5cd7">ElementOutput</a>,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  kElementsPerAccess</div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#ada1d63c4342730031e25503a06f5e590"> 94</a></span>  >::Type;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1PredicatedTileIterator.html">OutputTileIterator</a> = <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1PredicatedTileIterator.html">cutlass::epilogue::threadblock::PredicatedTileIterator</a><</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#ada1d63c4342730031e25503a06f5e590">OutputTileThreadMap</a>,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  ElementOutput</div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a081463263f0532938ab5ef2e273d4d23"> 99</a></span>  >;</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>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorWmmaTensorOp.html">AccumulatorFragmentIterator</a> = <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorWmmaTensorOp.html">cutlass::epilogue::warp::FragmentIteratorWmmaTensorOp</a><</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">typename</span> WarpMmaTensorOp::Shape,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">typename</span> WarpMmaTensorOp::Policy::Operator::Shape,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keyword">typename</span> WarpMmaTensorOp::Policy::Operator::ElementC,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">typename</span> WarpMmaTensorOp::Policy::Operator::FragmentC,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a37f9240209d3a0f2b17ea9a4b1f0819c">LayoutC</a></div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#af4ccb442409f47449ce5c064bd780c08"> 107</a></span>  >;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorWmmaTensorOp.html">WarpTileIterator</a> = <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorWmmaTensorOp.html">cutlass::epilogue::warp::TileIteratorWmmaTensorOp</a><</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">typename</span> WarpMmaTensorOp::Shape,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">typename</span> WarpMmaTensorOp::Policy::Operator::Shape,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">typename</span> WarpMmaTensorOp::Policy::Operator::FragmentC,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a37f9240209d3a0f2b17ea9a4b1f0819c">LayoutC</a></div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#abd1ce64233ccb0ff8383c550a0a54364"> 114</a></span>  >;</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>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html">SharedLoadIterator</a> = <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html">cutlass::epilogue::threadblock::SharedLoadIterator</a><</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">typename</span> OutputTileThreadMap::CompactedThreadMap,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#aa8784b8a54b8eddd7b29f454a8614d91">ElementAccumulator</a></div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a7057d26467d7ebf2fae46c838e4c6989"> 119</a></span>  >;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00122"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a97250de320f3d20e1eff7ee6c633a28d"> 122</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a97250de320f3d20e1eff7ee6c633a28d">Padding</a> = <span class="keyword">typename</span> WarpTileIterator::Padding;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">//</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">// Define the epilogue</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">//</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1Epilogue.html">Epilogue</a> = <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1Epilogue.html">cutlass::epilogue::threadblock::Epilogue</a><</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#afe7f92a5a53264e2f8eaa79c1e1d5640">Shape</a>,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a37c63903349ade88068fc51d1d86909d">WarpMmaTensorOp</a>,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a4a1949f471e74465b1a92d88162747b0">kPartitionsK</a>,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a081463263f0532938ab5ef2e273d4d23">OutputTileIterator</a>,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#af4ccb442409f47449ce5c064bd780c08">AccumulatorFragmentIterator</a>,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#abd1ce64233ccb0ff8383c550a0a54364">WarpTileIterator</a>,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a7057d26467d7ebf2fae46c838e4c6989">SharedLoadIterator</a>,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#aeaa2ad8ce4948b2f9f67c5527eeed8a8">OutputOp</a>,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a97250de320f3d20e1eff7ee6c633a28d">Padding</a></div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a64d8cce16b2101dad7a62414fdd4c696"> 137</a></span>  >;</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="l00140"></a><span class="lineno"> 140</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> } <span class="comment">// namespace threadblock</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> } <span class="comment">// namespace epilogue</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> } <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div><div class="ttc" id="regular__tile__iterator__pitch__linear_8h_html"><div class="ttname"><a href="regular__tile__iterator__pitch__linear_8h.html">regular_tile_iterator_pitch_linear.h</a></div><div class="ttdoc">Templates implementing loading of tiles from pitch-linear rank=2 tensors. </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_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_afe7f92a5a53264e2f8eaa79c1e1d5640"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#afe7f92a5a53264e2f8eaa79c1e1d5640">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:73</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_a081463263f0532938ab5ef2e273d4d23"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a081463263f0532938ab5ef2e273d4d23">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::OutputTileIterator</a></div><div class="ttdeci">cutlass::epilogue::threadblock::PredicatedTileIterator< OutputTileThreadMap, ElementOutput > OutputTileIterator</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:99</div></div>
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<div class="ttc" id="epilogue_2threadblock_2predicated__tile__iterator_8h_html"><div class="ttname"><a href="epilogue_2threadblock_2predicated__tile__iterator_8h.html">predicated_tile_iterator.h</a></div><div class="ttdoc">Epilogue for threadblock scoped GEMMs using Tensor Ops. </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="conversion__op_8h_html"><div class="ttname"><a href="conversion__op_8h.html">conversion_op.h</a></div><div class="ttdoc">Functor performing conversion operations used by epilogues. </div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_a37f9240209d3a0f2b17ea9a4b1f0819c"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a37f9240209d3a0f2b17ea9a4b1f0819c">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::LayoutC</a></div><div class="ttdeci">typename WarpMmaTensorOp::LayoutC LayoutC</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:80</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_af4ccb442409f47449ce5c064bd780c08"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#af4ccb442409f47449ce5c064bd780c08">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::AccumulatorFragmentIterator</a></div><div class="ttdeci">cutlass::epilogue::warp::FragmentIteratorWmmaTensorOp< typename WarpMmaTensorOp::Shape, typename WarpMmaTensorOp::Policy::Operator::Shape, typename WarpMmaTensorOp::Policy::Operator::ElementC, typename WarpMmaTensorOp::Policy::Operator::FragmentC, LayoutC > AccumulatorFragmentIterator</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:107</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_aeaa2ad8ce4948b2f9f67c5527eeed8a8"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#aeaa2ad8ce4948b2f9f67c5527eeed8a8">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::OutputOp</a></div><div class="ttdeci">OutputOp_ OutputOp</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:76</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="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_a8df0cd1c54293b862f1861122f6d5cd7"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a8df0cd1c54293b862f1861122f6d5cd7">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::ElementOutput</a></div><div class="ttdeci">typename OutputOp::ElementOutput ElementOutput</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:79</div></div>
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<div class="ttc" id="linear__combination_8h_html"><div class="ttname"><a href="linear__combination_8h.html">linear_combination.h</a></div><div class="ttdoc">Functor performing linear combination operations used by epilogues. </div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_a4a1949f471e74465b1a92d88162747b0"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a4a1949f471e74465b1a92d88162747b0">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::kPartitionsK</a></div><div class="ttdeci">static int const kPartitionsK</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:75</div></div>
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<div class="ttc" id="tile__iterator__wmma__tensor__op_8h_html"><div class="ttname"><a href="tile__iterator__wmma__tensor__op_8h.html">tile_iterator_wmma_tensor_op.h</a></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_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_a97250de320f3d20e1eff7ee6c633a28d"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a97250de320f3d20e1eff7ee6c633a28d">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::Padding</a></div><div class="ttdeci">typename WarpTileIterator::Padding Padding</div><div class="ttdoc">Hard-coded padding elements added. </div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:122</div></div>
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<div class="ttc" id="shared__load__iterator_8h_html"><div class="ttname"><a href="shared__load__iterator_8h.html">shared_load_iterator.h</a></div><div class="ttdoc">Epilogue for threadblock scoped GEMMs using Tensor Ops. </div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorWmmaTensorOp_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1FragmentIteratorWmmaTensorOp.html">cutlass::epilogue::warp::FragmentIteratorWmmaTensorOp</a></div><div class="ttdef"><b>Definition:</b> fragment_iterator_wmma_tensor_op.h:63</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapWmmaTensorOp_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultThreadMapWmmaTensorOp.html">cutlass::epilogue::threadblock::DefaultThreadMapWmmaTensorOp</a></div><div class="ttdoc">Defines the optimal thread map for Wmma TensorOp accumulator layouts. </div><div class="ttdef"><b>Definition:</b> default_thread_map_wmma_tensor_op.h:53</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_ada1d63c4342730031e25503a06f5e590"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#ada1d63c4342730031e25503a06f5e590">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::OutputTileThreadMap</a></div><div class="ttdeci">typename cutlass::epilogue::threadblock::DefaultThreadMapWmmaTensorOp< Shape, typename WarpMmaTensorOp::Shape, typename WarpMmaTensorOp::Policy::Operator::Shape, kPartitionsK, ElementOutput, kElementsPerAccess >::Type OutputTileThreadMap</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:94</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1Epilogue_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1Epilogue.html">cutlass::epilogue::threadblock::Epilogue</a></div><div class="ttdoc">Epilogue operator without splitk. </div><div class="ttdef"><b>Definition:</b> epilogue.h:74</div></div>
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<div class="ttc" id="fragment__iterator__wmma__tensor__op_8h_html"><div class="ttname"><a href="fragment__iterator__wmma__tensor__op_8h.html">fragment_iterator_wmma_tensor_op.h</a></div><div class="ttdoc">This defines a "fragment" iterator for visiting the fragments of an accumulator tile that participate...</div></div>
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<div class="ttc" id="epilogue_8h_html"><div class="ttname"><a href="epilogue_8h.html">epilogue.h</a></div><div class="ttdoc">Epilogue for threadblock scoped GEMMs using Tensor Ops. </div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1PredicatedTileIterator_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1PredicatedTileIterator.html">cutlass::epilogue::threadblock::PredicatedTileIterator</a></div><div class="ttdef"><b>Definition:</b> epilogue/threadblock/predicated_tile_iterator.h:65</div></div>
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<div class="ttc" id="default__thread__map__wmma__tensor__op_8h_html"><div class="ttname"><a href="default__thread__map__wmma__tensor__op_8h.html">default_thread_map_wmma_tensor_op.h</a></div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp</a></div><div class="ttdoc">Defines sensible defaults for epilogues for WMMA TensorOps. </div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:71</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_aa8784b8a54b8eddd7b29f454a8614d91"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#aa8784b8a54b8eddd7b29f454a8614d91">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::ElementAccumulator</a></div><div class="ttdeci">typename WarpMmaTensorOp::ElementC ElementAccumulator</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:81</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_a3a463148ab913accd64ad83757df869d"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a3a463148ab913accd64ad83757df869d">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::kElementsPerAccess</a></div><div class="ttdeci">static int const kElementsPerAccess</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:77</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorWmmaTensorOp_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorWmmaTensorOp.html">cutlass::epilogue::warp::TileIteratorWmmaTensorOp</a></div><div class="ttdoc">Template for reading and writing tiles of accumulators to shared memory. </div><div class="ttdef"><b>Definition:</b> tile_iterator_wmma_tensor_op.h:56</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html">cutlass::epilogue::threadblock::SharedLoadIterator</a></div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:61</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_a7057d26467d7ebf2fae46c838e4c6989"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a7057d26467d7ebf2fae46c838e4c6989">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::SharedLoadIterator</a></div><div class="ttdeci">cutlass::epilogue::threadblock::SharedLoadIterator< typename OutputTileThreadMap::CompactedThreadMap, ElementAccumulator > SharedLoadIterator</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:119</div></div>
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<div class="ttc" id="reduction__op_8h_html"><div class="ttname"><a href="reduction__op_8h.html">reduction_op.h</a></div><div class="ttdoc">Functor performing reduction operations used by epilogues. </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_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_a37c63903349ade88068fc51d1d86909d"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#a37c63903349ade88068fc51d1d86909d">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::WarpMmaTensorOp</a></div><div class="ttdeci">WarpMmaTensorOp_ WarpMmaTensorOp</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:74</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp_html_abd1ce64233ccb0ff8383c550a0a54364"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1threadblock_1_1DefaultEpilogueWmmaTensorOp.html#abd1ce64233ccb0ff8383c550a0a54364">cutlass::epilogue::threadblock::DefaultEpilogueWmmaTensorOp::WarpTileIterator</a></div><div class="ttdeci">cutlass::epilogue::warp::TileIteratorWmmaTensorOp< typename WarpMmaTensorOp::Shape, typename WarpMmaTensorOp::Policy::Operator::Shape, typename WarpMmaTensorOp::Policy::Operator::FragmentC, LayoutC > WarpTileIterator</div><div class="ttdef"><b>Definition:</b> default_epilogue_wmma_tensor_op.h:114</div></div>
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