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<a href="gemm_2thread_2mma__sm61_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="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="tensor__ref_8h.html">cutlass/tensor_ref.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="layout_2matrix_8h.html">cutlass/layout/matrix.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</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="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="gemm_2thread_2mma_8h.html">cutlass/gemm/thread/mma.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</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="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span>gemm {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span>thread {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</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="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">typename</span> LayoutC_</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> ></div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html"> 52</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a><</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  Shape_,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  int8_t,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  layout::RowMajor,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  int8_t,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  int32_t,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  LayoutC_,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  arch::OpMultiplyAdd,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  bool> {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a33d6356e20b97badf1a49d384144e411"> 64</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a33d6356e20b97badf1a49d384144e411">Shape</a> = Shape_;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#ad2345cd2c37e767e54e89079032d2456"> 67</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#ad2345cd2c37e767e54e89079032d2456">ElementA</a> = int8_t;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#ae97a267ff5cb731e4c396cf6f7524e01"> 70</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">LayoutA</a> = <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a9709b100b2ee7e54af92ac648c389ca5"> 73</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a9709b100b2ee7e54af92ac648c389ca5">ElementB</a> = int8_t;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a2f2ab8637971d2837beec904d4e1c09f"> 76</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">LayoutB</a> = <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a4b596aaab0b18e2bf5baf0034cb59fda"> 79</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a4b596aaab0b18e2bf5baf0034cb59fda">ElementC</a> = int32_t;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#abccf798bd97c69887268f62cfabf2aac"> 82</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#abccf798bd97c69887268f62cfabf2aac">LayoutC</a> = LayoutC_;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a86c5359a3fa5251ba38db6851a586a03"> 85</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a86c5359a3fa5251ba38db6851a586a03">Operator</a> = arch::OpMultiplyAdd;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#af9811ca34314708c1371e37faf3f6cf2"> 88</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#af9811ca34314708c1371e37faf3f6cf2">FragmentA</a> = Array<ElementA, Shape::kMK>;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#acc0894e5afdf193553e9205e7ea56ada"> 91</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#acc0894e5afdf193553e9205e7ea56ada">FragmentB</a> = Array<ElementB, Shape::kKN>;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a9fea49fb8cd291c925ed0a52bccff1e7"> 94</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a9fea49fb8cd291c925ed0a52bccff1e7">FragmentC</a> = Array<ElementC, Shape::kMN>;</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="comment">//</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">//</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a827c554a04cd668a357b87a20dc8abbe"> 102</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a827c554a04cd668a357b87a20dc8abbe">operator()</a>(</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a9fea49fb8cd291c925ed0a52bccff1e7">FragmentC</a> & D,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#af9811ca34314708c1371e37faf3f6cf2">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#acc0894e5afdf193553e9205e7ea56ada">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a9fea49fb8cd291c925ed0a52bccff1e7">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementC, LayoutC></a> d(</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  reinterpret_cast<ElementC *>(&D), LayoutC::packed({ Shape::kM, Shape::kN }));</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">// Copy accumulators</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  D = C;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a> = <a class="code" href="structcutlass_1_1arch_1_1Mma.html">arch::Mma</a><</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape<1,1,4></a>,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  1,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#ad2345cd2c37e767e54e89079032d2456">ElementA</a>,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">LayoutA</a>,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a9709b100b2ee7e54af92ac648c389ca5">ElementB</a>,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">LayoutB</a>,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a4b596aaab0b18e2bf5baf0034cb59fda">ElementC</a>,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#abccf798bd97c69887268f62cfabf2aac">LayoutC</a>,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  arch::OpMultiplyAdd>;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a> mma;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Compute matrix product</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = 0; k < Shape::kK / Mma::Shape::kK; ++k) {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < Shape::kN; ++n) {</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> m = 0; m < Shape::kM; ++m) {</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a> mn(m, n);</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>  Array<int8_t, 4> <span class="keyword">const</span> *ptr_A = <span class="keyword">reinterpret_cast<</span>Array<int8_t, 4> <span class="keyword">const </span>*<span class="keyword">></span>(&A);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  Array<int8_t, 4> <span class="keyword">const</span> *ptr_B = <span class="keyword">reinterpret_cast<</span>Array<int8_t, 4> <span class="keyword">const </span>*<span class="keyword">></span>(&B);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  Array<int32_t, 1> tmp = <span class="keyword">reinterpret_cast<</span>Array<int32_t, 1> &<span class="keyword">></span>(d.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(mn));</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  mma(</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  tmp,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  ptr_A[m * Shape::kK / Mma::Shape::kK + k],</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  ptr_B[n * Shape::kK / Mma::Shape::kK + k],</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  tmp);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  d.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(mn) = <span class="keyword">reinterpret_cast<</span>int32_t &<span class="keyword">></span>(tmp);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  }</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  }</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  }</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> };</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">typename</span> LayoutC_</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span> ></div><div class="line"><a name="l00165"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html"> 165</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a><</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  Shape_,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  int8_t,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  layout::ColumnMajor,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  int8_t,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  int32_t,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  LayoutC_,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  arch::OpMultiplyAdd,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  int8_t> {</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span> </div><div class="line"><a name="l00177"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#aad5a7046adce98731840857a4b9f928c"> 177</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#aad5a7046adce98731840857a4b9f928c">Shape</a> = Shape_;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a1429b2efb3fcf27381763368fa49ac4b"> 180</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a1429b2efb3fcf27381763368fa49ac4b">ElementA</a> = int8_t;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00183"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a285e7f7a777dcc1b553e3647bcf3833a"> 183</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">LayoutA</a> = <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a39d3c40f8d968acac938cdfb0e99d89e"> 186</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a39d3c40f8d968acac938cdfb0e99d89e">ElementB</a> = int8_t;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00189"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#ab4fdf251bf699a1e5972385d66f8220d"> 189</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">LayoutB</a> = <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00192"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a739813c06b0b67f6d7fca1ec00bb301d"> 192</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a739813c06b0b67f6d7fca1ec00bb301d">ElementC</a> = int32_t;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00195"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a5a8bef91fe385be165980f9e0cd4e453"> 195</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a5a8bef91fe385be165980f9e0cd4e453">LayoutC</a> = LayoutC_;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00198"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a7e010ad47f102bf4b1c23a6cec257f96"> 198</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a7e010ad47f102bf4b1c23a6cec257f96">Operator</a> = arch::OpMultiplyAdd;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00201"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a0b6a3262da428537ba826a5abf16b894"> 201</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a0b6a3262da428537ba826a5abf16b894">FragmentA</a> = Array<ElementA, Shape::kMK>;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div><div class="line"><a name="l00204"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a34af38037b5cd7328f8bd9e463bfd4b7"> 204</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a34af38037b5cd7328f8bd9e463bfd4b7">FragmentB</a> = Array<ElementB, Shape::kKN>;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00207"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#ac70df9d0d37586189c6e3796d2b4bfb8"> 207</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#ac70df9d0d37586189c6e3796d2b4bfb8">FragmentC</a> = Array<ElementC, Shape::kMN>;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="comment">//</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">//</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00215"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#ae518a9644f8a0842921d78216b5ac952"> 215</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#ae518a9644f8a0842921d78216b5ac952">operator()</a>(</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#ac70df9d0d37586189c6e3796d2b4bfb8">FragmentC</a> & D,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a0b6a3262da428537ba826a5abf16b894">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a34af38037b5cd7328f8bd9e463bfd4b7">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#ac70df9d0d37586189c6e3796d2b4bfb8">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementC, LayoutC></a> d(</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  reinterpret_cast<ElementC *>(&D), LayoutC::packed({ Shape::kM, Shape::kN }));</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="comment">// Copy accumulators</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  D = C;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a> = <a class="code" href="structcutlass_1_1arch_1_1Mma.html">arch::Mma</a><</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape<1,1,4></a>,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  1,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a1429b2efb3fcf27381763368fa49ac4b">ElementA</a>,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">LayoutA</a>,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a39d3c40f8d968acac938cdfb0e99d89e">ElementB</a>,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">LayoutB</a>,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a739813c06b0b67f6d7fca1ec00bb301d">ElementC</a>,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a5a8bef91fe385be165980f9e0cd4e453">LayoutC</a>,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  arch::OpMultiplyAdd>;</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>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a> mma;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  Array<int8_t, 4> <span class="keyword">const</span> *ptr_A = <span class="keyword">reinterpret_cast<</span>Array<int8_t, 4> <span class="keyword">const </span>*<span class="keyword">></span>(&A);</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  Array<int8_t, 4> <span class="keyword">const</span> *ptr_B = <span class="keyword">reinterpret_cast<</span>Array<int8_t, 4> <span class="keyword">const </span>*<span class="keyword">></span>(&B);</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="comment">// Compute matrix product</span></div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = 0; k < Shape::kK / Mma::Shape::kK; ++k) {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < Shape::kN; ++n) {</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> m = 0; m < Shape::kM; ++m) {</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a> mn(m, n);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  Array<int32_t, 1> tmp = <span class="keyword">reinterpret_cast<</span>Array<int32_t, 1> &<span class="keyword">></span>(d.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(mn));</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  mma(</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  tmp,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  ptr_A[m + k * Shape::kM],</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  ptr_B[n + k * Shape::kN],</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  tmp);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  d.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(mn) = <span class="keyword">reinterpret_cast<</span>int32_t &<span class="keyword">></span>(tmp);</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  }</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  }</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  }</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> };</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> } <span class="comment">// namespace thread</span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> } <span class="comment">// namespace gemm</span></div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> } <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><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="tensor__ref_8h_html"><div class="ttname"><a href="tensor__ref_8h.html">tensor_ref.h</a></div><div class="ttdoc">Defines a structure containing strides, bounds, and a pointer to tensor data. </div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b_html_a827c554a04cd668a357b87a20dc8abbe"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a827c554a04cd668a357b87a20dc8abbe">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::RowMajor, int8_t, layout::ColumnMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, bool >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void operator()(FragmentC &D, FragmentA const &A, FragmentB const &B, FragmentC const &C)</div><div class="ttdoc">Computes a matrix product D = A * B + C. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:102</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623_html_a34af38037b5cd7328f8bd9e463bfd4b7"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a34af38037b5cd7328f8bd9e463bfd4b7">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::ColumnMajor, int8_t, layout::RowMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, int8_t >::FragmentB</a></div><div class="ttdeci">Array< ElementB, Shape::kKN > FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:204</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b_html_a33d6356e20b97badf1a49d384144e411"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a33d6356e20b97badf1a49d384144e411">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::RowMajor, int8_t, layout::ColumnMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, bool >::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdoc">Size of the Gemm problem - concept: gemm::GemmShape<> </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:64</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623_html_ae518a9644f8a0842921d78216b5ac952"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#ae518a9644f8a0842921d78216b5ac952">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::ColumnMajor, int8_t, layout::RowMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, int8_t >::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void operator()(FragmentC &D, FragmentA const &A, FragmentB const &B, FragmentC const &C)</div><div class="ttdoc">Computes a matrix product D = A * B + C. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:215</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b_html_a86c5359a3fa5251ba38db6851a586a03"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a86c5359a3fa5251ba38db6851a586a03">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::RowMajor, int8_t, layout::ColumnMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, bool >::Operator</a></div><div class="ttdeci">arch::OpMultiplyAdd Operator</div><div class="ttdoc">Underlying mathematical operator. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:85</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623_html_ac70df9d0d37586189c6e3796d2b4bfb8"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#ac70df9d0d37586189c6e3796d2b4bfb8">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::ColumnMajor, int8_t, layout::RowMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, int8_t >::FragmentC</a></div><div class="ttdeci">Array< ElementC, Shape::kMN > FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:207</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_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623_html_a7e010ad47f102bf4b1c23a6cec257f96"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a7e010ad47f102bf4b1c23a6cec257f96">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::ColumnMajor, int8_t, layout::RowMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, int8_t >::Operator</a></div><div class="ttdeci">arch::OpMultiplyAdd Operator</div><div class="ttdoc">Underlying mathematical operator. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:198</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b_html_a9709b100b2ee7e54af92ac648c389ca5"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a9709b100b2ee7e54af92ac648c389ca5">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::RowMajor, int8_t, layout::ColumnMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, bool >::ElementB</a></div><div class="ttdeci">int8_t ElementB</div><div class="ttdoc">Data type of operand B. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:73</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b_html_af9811ca34314708c1371e37faf3f6cf2"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#af9811ca34314708c1371e37faf3f6cf2">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::RowMajor, int8_t, layout::ColumnMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, bool >::FragmentA</a></div><div class="ttdeci">Array< ElementA, Shape::kMK > FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:88</div></div>
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<div class="ttc" id="classcutlass_1_1layout_1_1ColumnMajor_html"><div class="ttname"><a href="classcutlass_1_1layout_1_1ColumnMajor.html">cutlass::layout::ColumnMajor</a></div><div class="ttdoc">Mapping function for column-major matrices. </div><div class="ttdef"><b>Definition:</b> layout/matrix.h:142</div></div>
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<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html"><div class="ttname"><a href="classcutlass_1_1TensorRef.html">cutlass::TensorRef< ElementC, LayoutC ></a></div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623_html_a39d3c40f8d968acac938cdfb0e99d89e"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a39d3c40f8d968acac938cdfb0e99d89e">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::ColumnMajor, int8_t, layout::RowMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, int8_t >::ElementB</a></div><div class="ttdeci">int8_t ElementB</div><div class="ttdoc">Data type of operand B. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:186</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="gemm_2thread_2mma_8h_html"><div class="ttname"><a href="gemm_2thread_2mma_8h.html">mma.h</a></div><div class="ttdoc">Templates exposing architecture support for warp-level multiply-add operations. </div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623_html_a0b6a3262da428537ba826a5abf16b894"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a0b6a3262da428537ba826a5abf16b894">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::ColumnMajor, int8_t, layout::RowMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, int8_t >::FragmentA</a></div><div class="ttdeci">Array< ElementA, Shape::kMK > FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:201</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="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b_html_ad2345cd2c37e767e54e89079032d2456"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#ad2345cd2c37e767e54e89079032d2456">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::RowMajor, int8_t, layout::ColumnMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, bool >::ElementA</a></div><div class="ttdeci">int8_t ElementA</div><div class="ttdoc">Data type of operand A. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:67</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623_html_a739813c06b0b67f6d7fca1ec00bb301d"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a739813c06b0b67f6d7fca1ec00bb301d">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::ColumnMajor, int8_t, layout::RowMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, int8_t >::ElementC</a></div><div class="ttdeci">int32_t ElementC</div><div class="ttdoc">Element type of operand C. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:192</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="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623_html_a5a8bef91fe385be165980f9e0cd4e453"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a5a8bef91fe385be165980f9e0cd4e453">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::ColumnMajor, int8_t, layout::RowMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, int8_t >::LayoutC</a></div><div class="ttdeci">LayoutC_ LayoutC</div><div class="ttdoc">Layout of C matrix (concept: layout::MapFunc) </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:195</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="structcutlass_1_1gemm_1_1thread_1_1Mma_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">cutlass::gemm::thread::Mma</a></div><div class="ttdoc">Structure to compute the matrix product. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma.h:66</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b_html_abccf798bd97c69887268f62cfabf2aac"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#abccf798bd97c69887268f62cfabf2aac">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::RowMajor, int8_t, layout::ColumnMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, bool >::LayoutC</a></div><div class="ttdeci">LayoutC_ LayoutC</div><div class="ttdoc">Layout of C matrix (concept: layout::MapFunc) </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:82</div></div>
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<div class="ttc" id="layout_2matrix_8h_html"><div class="ttname"><a href="layout_2matrix_8h.html">matrix.h</a></div><div class="ttdoc">Defines layout functions used by TensorRef and derived classes. </div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b_html_a4b596aaab0b18e2bf5baf0034cb59fda"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a4b596aaab0b18e2bf5baf0034cb59fda">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::RowMajor, int8_t, layout::ColumnMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, bool >::ElementC</a></div><div class="ttdeci">int32_t ElementC</div><div class="ttdoc">Element type of operand C. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:79</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b_html_acc0894e5afdf193553e9205e7ea56ada"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#acc0894e5afdf193553e9205e7ea56ada">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::RowMajor, int8_t, layout::ColumnMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, bool >::FragmentB</a></div><div class="ttdeci">Array< ElementB, Shape::kKN > FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:91</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b_html_a9fea49fb8cd291c925ed0a52bccff1e7"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1RowMajor_00_01int89c659e7faf47264972bdba6cd80f42b.html#a9fea49fb8cd291c925ed0a52bccff1e7">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::RowMajor, int8_t, layout::ColumnMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, bool >::FragmentC</a></div><div class="ttdeci">Array< ElementC, Shape::kMN > FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:94</div></div>
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<div class="ttc" id="structcutlass_1_1arch_1_1Mma_html"><div class="ttname"><a href="structcutlass_1_1arch_1_1Mma.html">cutlass::arch::Mma</a></div><div class="ttdoc">Matrix multiply-add operation. </div><div class="ttdef"><b>Definition:</b> arch/mma.h:92</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="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623_html_aad5a7046adce98731840857a4b9f928c"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#aad5a7046adce98731840857a4b9f928c">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::ColumnMajor, int8_t, layout::RowMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, int8_t >::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdoc">Size of the Gemm problem - concept: gemm::GemmShape<> </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:177</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623_html_a1429b2efb3fcf27381763368fa49ac4b"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01int8__t_00_01layout_1_1ColumnMajor_00_013f3785e722edc6e9aab6f866309b8623.html#a1429b2efb3fcf27381763368fa49ac4b">cutlass::gemm::thread::Mma< Shape_, int8_t, layout::ColumnMajor, int8_t, layout::RowMajor, int32_t, LayoutC_, arch::OpMultiplyAdd, int8_t >::ElementA</a></div><div class="ttdeci">int8_t ElementA</div><div class="ttdoc">Data type of operand A. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm61.h:180</div></div>
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