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<a href="gemm_2thread_2mma__sm60_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> <span class="preprocessor">#include "<a class="code" href="functional_8h.html">cutlass/functional.h</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="reduce_8h.html">cutlass/reduction/thread/reduce.h</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</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="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">namespace </span>gemm {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">namespace </span>thread {</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> </div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1gemm_1_1thread_1_1detail.html"> 47</a></span> <span class="keyword">namespace </span>detail {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">typename</span> Shape,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">typename</span> LayoutA,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">typename</span> LayoutB,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">typename</span> LayoutC,</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="keywordtype">bool</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> ></div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html"> 66</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">Mma_HFMA2</a>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment">// Specialization for NNN //</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"></span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Shape></div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html"> 74</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">Mma_HFMA2</a> <</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  Shape,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  layout::ColumnMajor,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  true</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  > {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  !(Shape::kM % 2),</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="stringliteral">"Mma_HFMA2 requires the M dimension to be divisible by 2."</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  );</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#a5e4e2eb95afb820aad6a4609bd910089"> 88</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#a5e4e2eb95afb820aad6a4609bd910089">FragmentA</a> = Array<half_t, 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_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#aead4062ad5f251281eeb098351414936"> 91</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#aead4062ad5f251281eeb098351414936">FragmentB</a> = Array<half_t, 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_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#a4105c83f7b881c8609c56a55914fcea6"> 94</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#a4105c83f7b881c8609c56a55914fcea6">FragmentC</a> = Array<half_t, 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_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#ae13e7521a412dd15a6438a565f0db467"> 102</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#ae13e7521a412dd15a6438a565f0db467">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_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#a4105c83f7b881c8609c56a55914fcea6">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_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#a5e4e2eb95afb820aad6a4609bd910089">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_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#aead4062ad5f251281eeb098351414936">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_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#a4105c83f7b881c8609c56a55914fcea6">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="l00109"></a><span class="lineno"> 109</span>  D = C;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</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="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape<2,1,1></a>,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  1,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  half_t,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  layout::ColumnMajor,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  half_t,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  layout::ColumnMajor,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  arch::OpMultiplyAdd>;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  Array<half_t, 2> *ptr_D = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> *<span class="keyword">></span>(&D);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  Array<half_t, 2> <span class="keyword">const</span> *ptr_A = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> <span class="keyword">const </span>*<span class="keyword">></span>(&A);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  Array<half_t, 1> <span class="keyword">const</span> *ptr_B = <span class="keyword">reinterpret_cast<</span>Array<half_t, 1> <span class="keyword">const </span>*<span class="keyword">></span>(&B);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a> mma;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <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="keyword">auto</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="keyword">auto</span> m=0; m < Shape::kM / Mma::Shape::kM; m++){</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="keyword">auto</span> n=0; n < Shape::kN / Mma::Shape::kN; n++){</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  Array<half_t, 2> tmp;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  Array<half_t, 2> *ptr_tmp = &tmp;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  ptr_tmp[0] = ptr_D[n*Shape::kM/2 + m];</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>  mma(</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  tmp,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  ptr_A[k*Shape::kM/2 + m],</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  ptr_B[n*Shape::kK + k],</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  tmp);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  ptr_D[n*Shape::kM/2 + m] = ptr_tmp[0];</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>  }</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="l00156"></a><span class="lineno"> 156</span> <span class="comment">// Specialization for NNT //</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="comment"></span></div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Shape></div><div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html"> 160</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">Mma_HFMA2</a><</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  Shape,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  layout::ColumnMajor,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  true</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  > {</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  !(Shape::kN % 2),</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="stringliteral">"Mma_HFMA2 requires the N dimension to be divisible by 2."</span></div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  );</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00174"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#a511aed0cec5670783f6dc3d2b26a64a5"> 174</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#a511aed0cec5670783f6dc3d2b26a64a5">FragmentA</a> = Array<half_t, Shape::kMK>;</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_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#a38afec0d6f6ff8c7189b0766ecf80425"> 177</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#a38afec0d6f6ff8c7189b0766ecf80425">FragmentB</a> = Array<half_t, Shape::kKN>;</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_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#ab020c25ee9d01c16ec03efc64b6dafe2"> 180</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#ab020c25ee9d01c16ec03efc64b6dafe2">FragmentC</a> = Array<half_t, Shape::kMN>;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="comment">//</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="comment">//</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#a1dcec61fd63296bec70da397ab6f9fc7"> 188</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#a1dcec61fd63296bec70da397ab6f9fc7">operator()</a>(</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#ab020c25ee9d01c16ec03efc64b6dafe2">FragmentC</a> & D,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#a511aed0cec5670783f6dc3d2b26a64a5">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#a38afec0d6f6ff8c7189b0766ecf80425">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#ab020c25ee9d01c16ec03efc64b6dafe2">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  D = C;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">using</span> <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="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape<1,2,1></a>,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  1,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  half_t,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  layout::ColumnMajor,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  half_t,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  arch::OpMultiplyAdd>;</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>  Array<half_t, 2> *ptr_D = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> *<span class="keyword">></span>(&D);</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  Array<half_t, 1> <span class="keyword">const</span> *ptr_A = <span class="keyword">reinterpret_cast<</span>Array<half_t, 1> <span class="keyword">const </span>*<span class="keyword">></span>(&A);</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  Array<half_t, 2> <span class="keyword">const</span> *ptr_B = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> <span class="keyword">const </span>*<span class="keyword">></span>(&B);</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a> mma;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> k=0; k < Shape::kK / Mma::Shape::kK; k++){</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> n=0; n < Shape::kN / Mma::Shape::kN; n++){</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="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> m=0; m < Shape::kM / Mma::Shape::kM; m++){</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>  Array<half_t, 2> tmp;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  Array<half_t, 2> *ptr_tmp = &tmp;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  ptr_tmp[0] = ptr_D[m*Shape::kN/2 + n];</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  Array<half_t, 2> tmp_B;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  tmp_B[0] = ptr_B->at(2*n*Shape::kK + k);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  tmp_B[1] = ptr_B->at((2*n+1)*Shape::kK + k);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  mma(</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  tmp,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  ptr_A[k*Shape::kM + m],</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  tmp_B,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  tmp);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  ptr_D[m*Shape::kN/2 + n] = ptr_tmp[0];</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  }</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  }</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  }</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  }</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> };</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> <span class="comment">// Specialization for NTN //</span></div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="comment"></span></div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Shape></div><div class="line"><a name="l00251"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html"> 251</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">Mma_HFMA2</a> <</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  Shape,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  layout::ColumnMajor,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  true</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  > {</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  !(Shape::kM % 2),</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="stringliteral">"Mma_HFMA2 requires the GEMM M dimension to be divisible by 2."</span></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  );</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div><div class="line"><a name="l00265"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#abd3217abf12bdf7810408cd0af10e684"> 265</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#abd3217abf12bdf7810408cd0af10e684">FragmentA</a> = Array<half_t, Shape::kMK>;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> </div><div class="line"><a name="l00268"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#a99594cf2b14d51d930aeffe5f2a2eedd"> 268</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#a99594cf2b14d51d930aeffe5f2a2eedd">FragmentB</a> = Array<half_t, Shape::kKN>;</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div><div class="line"><a name="l00271"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#a58f282b08f9bdf33863e87838edcff79"> 271</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#a58f282b08f9bdf33863e87838edcff79">FragmentC</a> = Array<half_t, Shape::kMN>;</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="comment">//</span></div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="comment">//</span></div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00279"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#a6b501c0685b9b181fa48dba331d5a6ec"> 279</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#a6b501c0685b9b181fa48dba331d5a6ec">operator()</a>(</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#a58f282b08f9bdf33863e87838edcff79">FragmentC</a> & D,</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#abd3217abf12bdf7810408cd0af10e684">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#a99594cf2b14d51d930aeffe5f2a2eedd">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#a58f282b08f9bdf33863e87838edcff79">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  D = C;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00288"></a><span class="lineno"> 288</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="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape<2,1,1></a>,</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  1,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  half_t,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  half_t,</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  layout::ColumnMajor,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  arch::OpMultiplyAdd>;</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  Array<half_t, 2> *ptr_D = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> *<span class="keyword">></span>(&D);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  Array<half_t, 2> <span class="keyword">const</span> *ptr_A = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> <span class="keyword">const </span>*<span class="keyword">></span>(&A);</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  Array<half_t, 1> <span class="keyword">const</span> *ptr_B = <span class="keyword">reinterpret_cast<</span>Array<half_t, 1> <span class="keyword">const </span>*<span class="keyword">></span>(&B);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a> mma;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> </div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</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="l00307"></a><span class="lineno"> 307</span> </div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> m = 0; m < Shape::kM / Mma::Shape::kM; ++m) {</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < Shape::kN / Mma::Shape::kN; ++n) {</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  Array<half_t, 2> tmp;</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  Array<half_t, 2> *ptr_tmp = &tmp;</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  ptr_tmp[0] = ptr_D[m + n * Shape::kM/2];</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  mma(</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  tmp,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  ptr_A[m + k * Shape::kM/2],</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  ptr_B[k * Shape::kN + n],</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  tmp);</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> </div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  ptr_D[m + n * Shape::kM/2] = ptr_tmp[0];</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  }</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  }</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  }</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  }</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> };</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> <span class="comment">// Specialization for NTT //</span></div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span> <span class="comment"></span></div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Shape></div><div class="line"><a name="l00337"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html"> 337</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">Mma_HFMA2</a><</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  Shape,</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  layout::ColumnMajor,</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  true</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  > {</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  !(Shape::kN % 2),</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="stringliteral">"Mma_HFMA2 requires the N dimension to be divisible by 2."</span></div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  );</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> </div><div class="line"><a name="l00351"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a32394ddf5b5bb59cc08aaa37e247fb12"> 351</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a32394ddf5b5bb59cc08aaa37e247fb12">FragmentA</a> = Array<half_t, Shape::kMK>;</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00354"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a6d82503a204f8ce40c25cd3de379a49a"> 354</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a6d82503a204f8ce40c25cd3de379a49a">FragmentB</a> = Array<half_t, Shape::kKN>;</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> </div><div class="line"><a name="l00357"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a375e71b2b3e9b800b6c5a1f8a8e81881"> 357</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a375e71b2b3e9b800b6c5a1f8a8e81881">FragmentC</a> = Array<half_t, Shape::kMN>;</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> </div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="comment">//</span></div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="comment">//</span></div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00365"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#ae321ab37ce6b6db0a3546c1626c746e7"> 365</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#ae321ab37ce6b6db0a3546c1626c746e7">operator()</a>(</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a375e71b2b3e9b800b6c5a1f8a8e81881">FragmentC</a> & D,</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a32394ddf5b5bb59cc08aaa37e247fb12">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a6d82503a204f8ce40c25cd3de379a49a">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a375e71b2b3e9b800b6c5a1f8a8e81881">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span> </div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  D = C;</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</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="l00376"></a><span class="lineno"> 376</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape<1,2,1></a>,</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  1,</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  half_t,</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  half_t,</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  layout::RowMajor,</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  arch::OpMultiplyAdd>;</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> </div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  Array<half_t, 2> *ptr_D = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> *<span class="keyword">></span>(&D);</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  Array<half_t, 1> <span class="keyword">const</span> *ptr_A = <span class="keyword">reinterpret_cast<</span>Array<half_t, 1> <span class="keyword">const </span>*<span class="keyword">></span>(&A);</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  Array<half_t, 2> <span class="keyword">const</span> *ptr_B = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> <span class="keyword">const </span>*<span class="keyword">></span>(&B);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> </div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a> mma;</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> </div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> k=0; k < Shape::kK / Mma::Shape::kK; k++){</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> </div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> n=0; n < Shape::kN / Mma::Shape::kN; n++){</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> </div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> m=0; m < Shape::kM / Mma::Shape::kM; m++){</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  Array<half_t, 2> tmp;</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  Array<half_t, 2> *ptr_tmp = &tmp;</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  ptr_tmp[0] = ptr_D[m*Shape::kN/2 + n];</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  mma(</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  tmp,</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  ptr_A[k*Shape::kM + m],</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  ptr_B[k*Shape::kN/2 + n],</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  tmp);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  ptr_D[m*Shape::kN/2 + n] = ptr_tmp[0];</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  }</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  }</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  }</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  }</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> };</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span> <span class="comment">// Specialization for TNN //</span></div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> <span class="comment"></span></div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Shape></div><div class="line"><a name="l00424"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html"> 424</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">Mma_HFMA2</a> <</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  Shape,</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  layout::RowMajor,</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  true</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  > {</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  !(Shape::kM % 2),</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="stringliteral">"Mma_HFMA2 requires the M dimension to be divisible by 2."</span></div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  );</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div><div class="line"><a name="l00438"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#afc64bd91665ee573465a07e4eb6dc563"> 438</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#afc64bd91665ee573465a07e4eb6dc563">FragmentA</a> = Array<half_t, Shape::kMK>;</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span> </div><div class="line"><a name="l00441"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#a4fa52e77c752fe0977b68b7494043c32"> 441</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#a4fa52e77c752fe0977b68b7494043c32">FragmentB</a> = Array<half_t, Shape::kKN>;</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span> </div><div class="line"><a name="l00444"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#ad39651f6394d74322ae9f8ce220ccb6f"> 444</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#ad39651f6394d74322ae9f8ce220ccb6f">FragmentC</a> = Array<half_t, Shape::kMN>;</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="comment">//</span></div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="comment">//</span></div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00452"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#a2349d9640c696096eba961539c79bb3f"> 452</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#a2349d9640c696096eba961539c79bb3f">operator()</a>(</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#ad39651f6394d74322ae9f8ce220ccb6f">FragmentC</a> & D,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#afc64bd91665ee573465a07e4eb6dc563">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#a4fa52e77c752fe0977b68b7494043c32">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#ad39651f6394d74322ae9f8ce220ccb6f">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> </div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  D = C;</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div><div class="line"><a name="l00462"></a><span class="lineno"> 462</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="l00463"></a><span class="lineno"> 463</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape<2,1,1></a>,</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  1,</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  half_t,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  half_t,</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  layout::ColumnMajor,</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  arch::OpMultiplyAdd>;</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> </div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  Array<half_t, 2> *ptr_D = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> *<span class="keyword">></span>(&D);</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  Array<half_t, 2> <span class="keyword">const</span> *ptr_A = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> <span class="keyword">const </span>*<span class="keyword">></span>(&A);</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  Array<half_t, 1> <span class="keyword">const</span> *ptr_B = <span class="keyword">reinterpret_cast<</span>Array<half_t, 1> <span class="keyword">const </span>*<span class="keyword">></span>(&B);</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a> mma;</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span> </div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> k=0; k < Shape::kK / Mma::Shape::kK; k++){</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> </div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> m=0; m < Shape::kM / Mma::Shape::kM; m++){</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> </div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> n=0; n < Shape::kN / Mma::Shape::kN; n++){</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> </div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  Array<half_t, 2> tmp;</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  Array<half_t, 2> *ptr_tmp = &tmp;</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  ptr_tmp[0] = ptr_D[n*Shape::kM/2 + m];</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> </div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  Array<half_t, 2> tmp_A;</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  tmp_A[0] = ptr_A->at(2*m*Shape::kK + k);</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  tmp_A[1] = ptr_A->at((2*m+1)*Shape::kK + k);</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> </div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  mma(</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  tmp,</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  tmp_A,</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  ptr_B[n*Shape::kK + k],</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  tmp);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  ptr_D[n*Shape::kM/2 + m] = ptr_tmp[0];</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  }</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  }</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  }</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  }</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> };</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span> </div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span> <span class="comment">// Specialization for TNT //</span></div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> <span class="comment"></span></div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Shape></div><div class="line"><a name="l00514"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html"> 514</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">Mma_HFMA2</a> <</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  Shape,</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  layout::RowMajor,</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  true</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  > {</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span> </div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  !(Shape::kN % 2),</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="stringliteral">"Mma_HFMA2 requires the N dimension to be divisible by 2."</span></div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  );</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> </div><div class="line"><a name="l00528"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#a75103e99de4ae19d14678d8ae5b697bd"> 528</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#a75103e99de4ae19d14678d8ae5b697bd">FragmentA</a> = Array<half_t, Shape::kMK>;</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div><div class="line"><a name="l00531"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#ac4b19bd9753d7b09acbc087a6fe693fe"> 531</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#ac4b19bd9753d7b09acbc087a6fe693fe">FragmentB</a> = Array<half_t, Shape::kKN>;</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> </div><div class="line"><a name="l00534"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#aee67b84a9eca972334278ad84988ffa7"> 534</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#aee67b84a9eca972334278ad84988ffa7">FragmentC</a> = Array<half_t, Shape::kMN>;</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span> </div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="comment">//</span></div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="comment">//</span></div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span> </div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00542"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#a620a8cd5007a41463672e2dcfdfe4b2e"> 542</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#a620a8cd5007a41463672e2dcfdfe4b2e">operator()</a>(</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#aee67b84a9eca972334278ad84988ffa7">FragmentC</a> & D,</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#a75103e99de4ae19d14678d8ae5b697bd">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#ac4b19bd9753d7b09acbc087a6fe693fe">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#aee67b84a9eca972334278ad84988ffa7">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  D = C;</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> </div><div class="line"><a name="l00552"></a><span class="lineno"> 552</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="l00553"></a><span class="lineno"> 553</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape<1,2,1></a>,</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  1,</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  half_t,</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  half_t,</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  layout::RowMajor,</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  arch::OpMultiplyAdd>;</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  Array<half_t, 2> *ptr_D = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> *<span class="keyword">></span>(&D);</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  Array<half_t, 1> <span class="keyword">const</span> *ptr_A = <span class="keyword">reinterpret_cast<</span>Array<half_t, 1> <span class="keyword">const </span>*<span class="keyword">></span>(&A);</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  Array<half_t, 2> <span class="keyword">const</span> *ptr_B = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> <span class="keyword">const </span>*<span class="keyword">></span>(&B);</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> </div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a> mma;</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> </div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> k=0; k < Shape::kK / Mma::Shape::kK; k++){</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span> </div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> n=0; n < Shape::kN / Mma::Shape::kN; n++){</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> m=0; m < Shape::kM / Mma::Shape::kM; m++){</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span> </div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  Array<half_t, 2> tmp;</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  Array<half_t, 2> *ptr_tmp = &tmp;</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  ptr_tmp[0] = ptr_D[m*Shape::kN/2 + n];</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span> </div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  Array<half_t, 2> tmp_B;</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  tmp_B[0] = ptr_B->at(2*n*Shape::kK + k);</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  tmp_B[1] = ptr_B->at((2*n+1)*Shape::kK + k);</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> </div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  mma(</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  tmp,</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  ptr_A[m*Shape::kK + k],</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  tmp_B,</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  tmp);</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span> </div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  ptr_D[m*Shape::kN/2 + n] = ptr_tmp[0];</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  }</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  }</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  }</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  }</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span> };</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> </div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> <span class="comment">// Specialization for TTN //</span></div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span> <span class="comment"></span></div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Shape></div><div class="line"><a name="l00604"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html"> 604</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">Mma_HFMA2</a> <</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  Shape,</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  layout::RowMajor,</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  true</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  > {</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span> </div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  !(Shape::kM % 2),</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="stringliteral">"Mma_HFMA2 requires the M dimension to be divisible by 2."</span></div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  );</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span> </div><div class="line"><a name="l00618"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#a125ca8c88a24f1e23716be8f25d6735d"> 618</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#a125ca8c88a24f1e23716be8f25d6735d">FragmentA</a> = Array<half_t, Shape::kMK>;</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span> </div><div class="line"><a name="l00621"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#ae9681b4ff3427a57ec0f67fb8ae88fe6"> 621</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#ae9681b4ff3427a57ec0f67fb8ae88fe6">FragmentB</a> = Array<half_t, Shape::kKN>;</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span> </div><div class="line"><a name="l00624"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#a0d50d8b7290e39ebb5e0cbb7523bd320"> 624</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#a0d50d8b7290e39ebb5e0cbb7523bd320">FragmentC</a> = Array<half_t, Shape::kMN>;</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span> </div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="comment">//</span></div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  <span class="comment">//</span></div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span> </div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00632"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#a1d4b72705fca11cc4f01e477fb6aefe5"> 632</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#a1d4b72705fca11cc4f01e477fb6aefe5">operator()</a>(</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#a0d50d8b7290e39ebb5e0cbb7523bd320">FragmentC</a> & D,</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#a125ca8c88a24f1e23716be8f25d6735d">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#ae9681b4ff3427a57ec0f67fb8ae88fe6">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#a0d50d8b7290e39ebb5e0cbb7523bd320">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span> </div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  D = C;</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span> </div><div class="line"><a name="l00642"></a><span class="lineno"> 642</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="l00643"></a><span class="lineno"> 643</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape<2,1,1></a>,</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  1,</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  half_t,</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  layout::RowMajor,</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  half_t,</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  arch::OpMultiplyAdd>;</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span> </div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  Array<half_t, 2> *ptr_D = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> *<span class="keyword">></span>(&D);</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  Array<half_t, 2> <span class="keyword">const</span> *ptr_A = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> <span class="keyword">const </span>*<span class="keyword">></span>(&A);</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  Array<half_t, 1> <span class="keyword">const</span> *ptr_B = <span class="keyword">reinterpret_cast<</span>Array<half_t, 1> <span class="keyword">const </span>*<span class="keyword">></span>(&B);</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> </div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a> mma;</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span> </div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> k=0; k < Shape::kK / Mma::Shape::kK; k++){</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> </div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> m=0; m < Shape::kM / Mma::Shape::kM; m++){</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> </div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> n=0; n < Shape::kN / Mma::Shape::kN; n++){</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span> </div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  Array<half_t, 2> tmp;</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  Array<half_t, 2> *ptr_tmp = &tmp;</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  ptr_tmp[0] = ptr_D[n*Shape::kM/2 + m];</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span> </div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  Array<half_t, 2> tmp_A;</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  tmp_A[0] = ptr_A->at(2*m*Shape::kK + k);</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  tmp_A[1] = ptr_A->at((2*m+1)*Shape::kK + k);</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span> </div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  mma(</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  tmp,</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  tmp_A,</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  ptr_B[k*Shape::kN + n],</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  tmp);</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span> </div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  ptr_D[n*Shape::kM/2 + m] = ptr_tmp[0];</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  }</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  }</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  }</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  }</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span> };</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span> </div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span> </div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span> <span class="comment">// Specialization for TTT //</span></div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span> <span class="comment"></span></div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Shape></div><div class="line"><a name="l00695"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html"> 695</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">Mma_HFMA2</a><</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  Shape,</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  layout::RowMajor,</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  true</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  > {</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span> </div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  !(Shape::kN % 2),</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <span class="stringliteral">"Mma_HFMA2 requires the N dimension to be divisible by 2."</span></div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  );</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span> </div><div class="line"><a name="l00709"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#abb2a511d7b8b60cac068df2a9caa52c3"> 709</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#abb2a511d7b8b60cac068df2a9caa52c3">FragmentA</a> = Array<half_t, Shape::kMK>;</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span> </div><div class="line"><a name="l00712"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#adbb7b7b310e01a955d0567039b09d55e"> 712</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#adbb7b7b310e01a955d0567039b09d55e">FragmentB</a> = Array<half_t, Shape::kKN>;</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span> </div><div class="line"><a name="l00715"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#a8c02fc1a052ea30219a6a31c2dfb92d5"> 715</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#a8c02fc1a052ea30219a6a31c2dfb92d5">FragmentC</a> = Array<half_t, Shape::kMN>;</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span> </div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  <span class="comment">//</span></div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="comment">//</span></div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span> </div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00723"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#a882d7a806108fbec527cce945c976e9f"> 723</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#a882d7a806108fbec527cce945c976e9f">operator()</a>(</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#a8c02fc1a052ea30219a6a31c2dfb92d5">FragmentC</a> & D,</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#abb2a511d7b8b60cac068df2a9caa52c3">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#adbb7b7b310e01a955d0567039b09d55e">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#a8c02fc1a052ea30219a6a31c2dfb92d5">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span> </div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  D = C;</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> </div><div class="line"><a name="l00733"></a><span class="lineno"> 733</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="l00734"></a><span class="lineno"> 734</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape<1,2,1></a>,</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  1,</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>,</div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  half_t,</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  layout::RowMajor,</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  half_t,</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  layout::RowMajor,</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  arch::OpMultiplyAdd>;</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> </div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  Array<half_t, 2> *ptr_D = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> *<span class="keyword">></span>(&D);</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  Array<half_t, 1> <span class="keyword">const</span> *ptr_A = <span class="keyword">reinterpret_cast<</span>Array<half_t, 1> <span class="keyword">const </span>*<span class="keyword">></span>(&A);</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  Array<half_t, 2> <span class="keyword">const</span> *ptr_B = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> <span class="keyword">const </span>*<span class="keyword">></span>(&B);</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span> </div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a> mma;</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span> </div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> k=0; k < Shape::kK / Mma::Shape::kK; k++){</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span> </div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> n=0; n < Shape::kN / Mma::Shape::kN; n++){</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span> </div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> m=0; m < Shape::kM / Mma::Shape::kM; m++){</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span> </div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  Array<half_t, 2> tmp;</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  Array<half_t, 2> *ptr_tmp = &tmp;</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  ptr_tmp[0] = ptr_D[m*Shape::kN/2 + n];</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span> </div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  mma(</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  tmp,</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  ptr_A[m*Shape::kK + k],</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  ptr_B[k*Shape::kN/2 + n],</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  tmp);</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span> </div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  ptr_D[m*Shape::kN/2 + n] = ptr_tmp[0];</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  }</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  }</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  }</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  }</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span> };</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span> </div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span> <span class="comment">// Specialization for TNT + Inner Product or 1x1x2K + LayoutC = T //</span></div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span> <span class="comment"></span></div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Shape, <span class="keyword">typename</span> LayoutA, <span class="keyword">typename</span> LayoutB></div><div class="line"><a name="l00781"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html"> 781</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">Mma_HFMA2</a><</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  Shape,</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  LayoutA,</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  LayoutB,</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  layout::RowMajor,</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  false</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  > {</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span> </div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  !(Shape::kK % 2),</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <span class="stringliteral">"Mma_HFMA2 requires the K dimension to be divisible by 2."</span></div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  );</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span> </div><div class="line"><a name="l00795"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#aa6c00f1efb2ee4e5d5dd71f83cc3cedd"> 795</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#aa6c00f1efb2ee4e5d5dd71f83cc3cedd">FragmentA</a> = Array<half_t, Shape::kMK>;</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span> </div><div class="line"><a name="l00798"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#a3506cc0bc2411d9af2d2f2a019f73111"> 798</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#a3506cc0bc2411d9af2d2f2a019f73111">FragmentB</a> = Array<half_t, Shape::kKN>;</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> </div><div class="line"><a name="l00801"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#ae9604312ef68941313db07cd4ea86836"> 801</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#ae9604312ef68941313db07cd4ea86836">FragmentC</a> = Array<half_t, Shape::kMN>;</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span> </div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <span class="comment">//</span></div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="comment">//</span></div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span> </div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00809"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#ac79f4b4fe20aa32e58ffd1d6daba7557"> 809</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#ac79f4b4fe20aa32e58ffd1d6daba7557">operator()</a>(</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#ae9604312ef68941313db07cd4ea86836">FragmentC</a> & D,</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#aa6c00f1efb2ee4e5d5dd71f83cc3cedd">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#a3506cc0bc2411d9af2d2f2a019f73111">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#ae9604312ef68941313db07cd4ea86836">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span> </div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  D = C;</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span> </div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">GemmShape</a> = <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape<1,1,2></a>;</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span> </div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  Array<half_t, 1> *ptr_D = <span class="keyword">reinterpret_cast<</span>Array<half_t, 1> *<span class="keyword">></span>(&D);</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  Array<half_t, 2> <span class="keyword">const</span> *ptr_A = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> <span class="keyword">const </span>*<span class="keyword">></span>(&A);</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  Array<half_t, 2> <span class="keyword">const</span> *ptr_B = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> <span class="keyword">const </span>*<span class="keyword">></span>(&B);</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span> </div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  <span class="comment">// Inner product is calculated using MACs, followed by final reduction</span></div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <a class="code" href="structcutlass_1_1multiply__add.html">multiply_add<Array<half_t, 2></a>> <a class="code" href="namespacecutlass_1_1arch.html#abe575ad586930bfba45449455d3fad58">mac</a>;</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span>  <a class="code" href="structcutlass_1_1reduction_1_1thread_1_1Reduce.html">cutlass::reduction::thread::Reduce< plus<half_t></a>, Array<half_t, 2> > reduce;</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> </div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> n=0; n < Shape::kN / <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a9fcbaa4b47b83d0c8a09979ad5c98a1e">GemmShape::kN</a>; n++){ </div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span> </div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> m=0; m < Shape::kM / <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a7a47fe0c44571a0a68a43c5a47cf676a">GemmShape::kM</a>; m++){</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span> </div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  Array<half_t, 2> tmp_C;</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  tmp_C.clear();</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  Array<half_t, 1> *ptr_tmp_C = <span class="keyword">reinterpret_cast<</span>Array<half_t, 1> *<span class="keyword">></span>(&tmp_C);</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  ptr_tmp_C[0] = ptr_D[n*Shape::kM + m];</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span> </div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> k=0; k < Shape::kK / <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a8b7ab79699355caf179323b7ad4c71fc">GemmShape::kK</a>; k++){ </div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  tmp_C = <a class="code" href="namespacecutlass_1_1arch.html#abe575ad586930bfba45449455d3fad58">mac</a>(ptr_A[m*Shape::kK/2 + k], ptr_B[n*Shape::kK/2 + k], tmp_C);</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  }</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span> </div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  Array<half_t, 1> res;</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  Array<half_t, 1> *ptr_res = &res;</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  res = reduce(tmp_C);</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span> </div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  ptr_D[m*Shape::kN + n] = ptr_res[0];</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  }</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  }</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  }</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span> };</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span> </div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span> <span class="comment">// Specialization for TNN + Inner Product or 1x1x2K + LayoutC = N //</span></div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span> <span class="comment"></span></div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Shape, <span class="keyword">typename</span> LayoutA, <span class="keyword">typename</span> LayoutB></div><div class="line"><a name="l00860"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html"> 860</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">Mma_HFMA2</a><</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  Shape,</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  LayoutA,</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  LayoutB,</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  layout::ColumnMajor,</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  false</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  > {</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span> </div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  !(Shape::kK % 2),</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <span class="stringliteral">"Mma_HFMA2 requires the K dimension to be divisible by 2."</span></div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span>  );</div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span> </div><div class="line"><a name="l00874"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#acf8a91ee6716f8e2c3b9e8f7e805c065"> 874</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#acf8a91ee6716f8e2c3b9e8f7e805c065">FragmentA</a> = Array<half_t, Shape::kMK>;</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span> </div><div class="line"><a name="l00877"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#af3b9e18d19534c5326766bdb87cebb22"> 877</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#af3b9e18d19534c5326766bdb87cebb22">FragmentB</a> = Array<half_t, Shape::kKN>;</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span> </div><div class="line"><a name="l00880"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#a0f5b61c1425281945b40db7038be01d7"> 880</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#a0f5b61c1425281945b40db7038be01d7">FragmentC</a> = Array<half_t, Shape::kMN>;</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span> </div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <span class="comment">//</span></div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  <span class="comment">//</span></div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span> </div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00888"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#a82f72b2e8729b28e3f8786ea1ededd28"> 888</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#a82f72b2e8729b28e3f8786ea1ededd28">operator()</a>(</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#a0f5b61c1425281945b40db7038be01d7">FragmentC</a> & D,</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#acf8a91ee6716f8e2c3b9e8f7e805c065">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#af3b9e18d19534c5326766bdb87cebb22">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#a0f5b61c1425281945b40db7038be01d7">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span> </div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span>  D = C;</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span> </div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">GemmShape</a>= <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">gemm::GemmShape<1,1,2></a>;</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span> </div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span>  Array<half_t, 1> *ptr_D = <span class="keyword">reinterpret_cast<</span>Array<half_t, 1> *<span class="keyword">></span>(&D);</div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span>  Array<half_t, 2> <span class="keyword">const</span> *ptr_A = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> <span class="keyword">const </span>*<span class="keyword">></span>(&A);</div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span>  Array<half_t, 2> <span class="keyword">const</span> *ptr_B = <span class="keyword">reinterpret_cast<</span>Array<half_t, 2> <span class="keyword">const </span>*<span class="keyword">></span>(&B);</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span> </div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  <span class="comment">// Inner product is calculated using MACs, followed by final reduction</span></div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  <a class="code" href="structcutlass_1_1multiply__add.html">multiply_add<Array<half_t, 2></a>> <a class="code" href="namespacecutlass_1_1arch.html#abe575ad586930bfba45449455d3fad58">mac</a>;</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  <a class="code" href="structcutlass_1_1reduction_1_1thread_1_1Reduce.html">cutlass::reduction::thread::Reduce< plus<half_t></a>, Array<half_t, 2> > reduce;</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span> </div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> n=0; n < Shape::kN / <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a9fcbaa4b47b83d0c8a09979ad5c98a1e">GemmShape::kN</a>; n++){ </div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span> </div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> m=0; m < Shape::kM / <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a7a47fe0c44571a0a68a43c5a47cf676a">GemmShape::kM</a>; m++){</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span> </div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span>  Array<half_t, 2> tmp_C;</div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span>  tmp_C.clear();</div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span>  Array<half_t, 1> *ptr_tmp_C = <span class="keyword">reinterpret_cast<</span>Array<half_t, 1> *<span class="keyword">></span>(&tmp_C);</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  ptr_tmp_C[0] = ptr_D[n*Shape::kM + m];</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span> </div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> k=0; k < Shape::kK / <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html#a8b7ab79699355caf179323b7ad4c71fc">GemmShape::kK</a>; k++){ </div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span> </div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span>  tmp_C = <a class="code" href="namespacecutlass_1_1arch.html#abe575ad586930bfba45449455d3fad58">mac</a>(ptr_A[m*Shape::kK/2 + k], ptr_B[n*Shape::kK/2 + k], tmp_C);</div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span> </div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  }</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span> </div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  Array<half_t, 1> res;</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  Array<half_t, 1> *ptr_res = &res;</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span>  res = reduce(tmp_C);</div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span> </div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span>  ptr_D[n*Shape::kM + m] = ptr_res[0];</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  }</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  }</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  }</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span> };</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span> </div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span> } <span class="comment">// namespace detail</span></div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span> </div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span> </div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span>  <span class="keyword">typename</span> Shape_, <span class="keyword">typename</span> LayoutA, <span class="keyword">typename</span> LayoutB, <span class="keyword">typename</span> LayoutC</div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span> ></div><div class="line"><a name="l00945"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html"> 945</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="l00946"></a><span class="lineno"> 946</span>  Shape_,</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  LayoutA,</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span>  LayoutB,</div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  LayoutC,</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  arch::OpMultiplyAdd</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  > {</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span> </div><div class="line"><a name="l00957"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a041bfce41e4c95a7a67dc4156173e1f4"> 957</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a041bfce41e4c95a7a67dc4156173e1f4">Shape</a> = Shape_;</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span> </div><div class="line"><a name="l00960"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#abc237ebaf010ac6a3e91a93830772707"> 960</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1half__t.html">ElementA</a> = <a class="code" href="structcutlass_1_1half__t.html">half_t</a>;</div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span> </div><div class="line"><a name="l00963"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a4b52c217fcddfa6f6ec603ed0caff3f0"> 963</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1half__t.html">ElementB</a> = <a class="code" href="structcutlass_1_1half__t.html">half_t</a>;</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span> </div><div class="line"><a name="l00966"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a836cdbd43f3a01a930049af70f8009bd"> 966</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1half__t.html">ElementC</a> = <a class="code" href="structcutlass_1_1half__t.html">half_t</a>;</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span> </div><div class="line"><a name="l00969"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a62084aaf63a7538ba29de4c60d64d133"> 969</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a62084aaf63a7538ba29de4c60d64d133">Operator</a> = arch::OpMultiplyAdd;</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span> </div><div class="line"><a name="l00972"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a64b2cf33786247c4acd872fb8856abd5"> 972</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a64b2cf33786247c4acd872fb8856abd5">FragmentA</a> = Array<ElementA, Shape::kMK>;</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span> </div><div class="line"><a name="l00975"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a5a00c6305fd345f12f9469b790e99f12"> 975</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a5a00c6305fd345f12f9469b790e99f12">FragmentB</a> = Array<ElementB, Shape::kKN>;</div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span> </div><div class="line"><a name="l00978"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#ac5f3a1ad86714fdce4af1e8a4738a4f7"> 978</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#ac5f3a1ad86714fdce4af1e8a4738a4f7">FragmentC</a> = Array<ElementC, Shape::kMN>;</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span> </div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <span class="comment">//</span></div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span>  <span class="comment">//</span></div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span> </div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00986"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a7eb69f25c0b516fda203957a230df3ee"> 986</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a7eb69f25c0b516fda203957a230df3ee">operator()</a>(</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#ac5f3a1ad86714fdce4af1e8a4738a4f7">FragmentC</a> & D,</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a64b2cf33786247c4acd872fb8856abd5">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a5a00c6305fd345f12f9469b790e99f12">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#ac5f3a1ad86714fdce4af1e8a4738a4f7">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span> </div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  <a class="code" href="platform_8h.html#a72f0657181cca64b44eb186b707eb380">constexpr</a> <span class="keywordtype">bool</span> a_row_major = <a class="code" href="structcutlass_1_1platform_1_1is__same.html">platform::is_same< LayoutA, layout::RowMajor>::value</a>;</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  <a class="code" href="platform_8h.html#a72f0657181cca64b44eb186b707eb380">constexpr</a> <span class="keywordtype">bool</span> b_column_major = <a class="code" href="structcutlass_1_1platform_1_1is__same.html">platform::is_same< LayoutB, layout::ColumnMajor>::value</a>;</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  <a class="code" href="platform_8h.html#a72f0657181cca64b44eb186b707eb380">constexpr</a> <span class="keywordtype">bool</span> c_row_major = <a class="code" href="structcutlass_1_1platform_1_1is__same.html">platform::is_same< LayoutC, layout::RowMajor>::value</a>;</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  <a class="code" href="platform_8h.html#a72f0657181cca64b44eb186b707eb380">constexpr</a> <span class="keywordtype">bool</span> c_column_major = <a class="code" href="structcutlass_1_1platform_1_1is__same.html">platform::is_same< LayoutC, layout::ColumnMajor>::value</a>;</div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span> </div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span>  <a class="code" href="platform_8h.html#a72f0657181cca64b44eb186b707eb380">constexpr</a> <span class="keywordtype">bool</span> m_mod2 = !(Shape::kM % 2);</div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span>  <a class="code" href="platform_8h.html#a72f0657181cca64b44eb186b707eb380">constexpr</a> <span class="keywordtype">bool</span> n_mod2 = !(Shape::kN % 2);</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  <a class="code" href="platform_8h.html#a72f0657181cca64b44eb186b707eb380">constexpr</a> <span class="keywordtype">bool</span> k_mod2 = !(Shape::kK % 2);</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span> </div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="comment">// HFMA based MMA optimizations are of 2 types :</span></div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <span class="comment">// 1. Inner product </span></div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>  <span class="comment">// 2. Outer product</span></div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>  <span class="comment">// It is chosen based on LayoutC (for outer product gemm) or</span></div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>  <span class="comment">// Using LayoutA and LayoutB or shape=1x1x2K (for inner product gemms)</span></div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  <span class="comment">// If all fails, we choose the generic MMA</span></div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  <a class="code" href="platform_8h.html#a72f0657181cca64b44eb186b707eb380">constexpr</a> <span class="keywordtype">bool</span> use_outer_prod = (c_column_major && m_mod2) || (c_row_major && n_mod2);</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <a class="code" href="platform_8h.html#a72f0657181cca64b44eb186b707eb380">constexpr</a> <span class="keywordtype">bool</span> use_inner_prod = (a_row_major && b_column_major && k_mod2) || (Shape::kM==1 && Shape::kN==1 && k_mod2);</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  <a class="code" href="platform_8h.html#a72f0657181cca64b44eb186b707eb380">constexpr</a> <span class="keywordtype">bool</span> use_optimized = (use_outer_prod || use_inner_prod);</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span> </div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>  <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1platform_1_1conditional.html">platform::conditional</a>< use_optimized, </div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">detail::Mma_HFMA2<Shape, LayoutA, LayoutB, LayoutC, use_outer_prod></a>, </div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html">MmaGeneric <Shape, ElementA, LayoutA, ElementB, LayoutB, ElementC, LayoutC, Operator></a> </div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  >::type mma;</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  </div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  mma(D, A, B, C);</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span> </div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>  }</div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span> };</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span> </div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span> </div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span> <span class="keyword">namespace </span>detail {</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span> </div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>  <span class="keyword">template</span> <</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  <span class="keyword">typename</span> LayoutA,</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  <span class="keyword">typename</span> LayoutB></div><div class="line"><a name="l01030"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1EnableMma__Crow__SM60.html"> 1030</a></span>  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1EnableMma__Crow__SM60.html">EnableMma_Crow_SM60</a> {</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span> </div><div class="line"><a name="l01032"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1EnableMma__Crow__SM60.html#a8ec734b2126bd5147abafee8a3b7be70"> 1032</a></span>  <span class="keyword">static</span> <span class="keywordtype">bool</span> <span class="keyword">const</span> kIsConventionalLayout =</div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>  (<a class="code" href="structcutlass_1_1platform_1_1is__same.html">platform::is_same<LayoutA, layout::RowMajor>::value</a> ||</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  <a class="code" href="structcutlass_1_1platform_1_1is__same.html">platform::is_same<LayoutA, layout::ColumnMajor>::value</a>) &&</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  (<a class="code" href="structcutlass_1_1platform_1_1is__same.html">platform::is_same<LayoutB, layout::RowMajor>::value</a> ||</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <a class="code" href="structcutlass_1_1platform_1_1is__same.html">platform::is_same<LayoutB, layout::ColumnMajor>::value</a>);</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span> </div><div class="line"><a name="l01038"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1EnableMma__Crow__SM60.html#a2efb4c6abab3bfc29c0d58df8ccc0fd3"> 1038</a></span>  <span class="keyword">static</span> <span class="keywordtype">bool</span> <span class="keyword">const</span> value = kIsConventionalLayout;</div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>  };</div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span> };</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span> </div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span> </div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span> <span class="keyword">template</span> <</div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  <span class="keyword">typename</span> LayoutA_,</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <span class="keyword">typename</span> LayoutB_</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span> ></div><div class="line"><a name="l01051"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html"> 1051</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="l01052"></a><span class="lineno"> 1052</span>  Shape_,</div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>  LayoutA_,</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  LayoutB_,</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  layout::RowMajor,</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  arch::OpMultiplyAdd,</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  typename <a class="code" href="structcutlass_1_1platform_1_1enable__if.html">platform::enable_if</a><detail::EnableMma_Crow_SM60<</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  LayoutA_,</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  LayoutB_</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span>  >::value>::type>{</div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span> </div><div class="line"><a name="l01065"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a951f25ff3bb7a76bac1f867ee21c657f"> 1065</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a951f25ff3bb7a76bac1f867ee21c657f">Shape</a> = Shape_;</div><div class="line"><a name="l01066"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a7ffe7f427ffce1c269587417e4fed240"> 1066</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1half__t.html">ElementA</a> = <a class="code" href="structcutlass_1_1half__t.html">half_t</a>;</div><div class="line"><a name="l01067"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a0975c18cc4a9d376011858c6dbf740d0"> 1067</a></span>  <span class="keyword">using</span> LayoutA = LayoutA_;</div><div class="line"><a name="l01068"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a962acba07bc680b70ee1b08732d2516f"> 1068</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1half__t.html">ElementB</a> = <a class="code" href="structcutlass_1_1half__t.html">half_t</a>;</div><div class="line"><a name="l01069"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a28b637c1f311310a27b39c44e89e698e"> 1069</a></span>  <span class="keyword">using</span> LayoutB = LayoutB_;</div><div class="line"><a name="l01070"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#aff9afb3fc630bd0bdb35de1b402c65fa"> 1070</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1half__t.html">ElementC</a> = <a class="code" href="structcutlass_1_1half__t.html">half_t</a>;</div><div class="line"><a name="l01071"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a397dfb5a622d1ebe47177825194a03a9"> 1071</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">LayoutC</a> = <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>;</div><div class="line"><a name="l01072"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#af96ae215c5f273447ed44baa1315ffcf"> 1072</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#af96ae215c5f273447ed44baa1315ffcf">Operator</a> = arch::OpMultiplyAdd;</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span> </div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">TransposeMma</a> = <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">Mma</a><</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  <a class="code" href="structcutlass_1_1gemm_1_1GemmShape.html">GemmShapeTranspose<Shape></a>,</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <a class="code" href="structcutlass_1_1half__t.html">half_t</a>,</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>  <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1LayoutTranspose.html">layout::LayoutTranspose<LayoutB>::type</a>,</div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>  half_t,</div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>  <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1layout_1_1LayoutTranspose.html">layout::LayoutTranspose<LayoutA>::type</a>,</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  half_t,</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  <a class="code" href="classcutlass_1_1layout_1_1ColumnMajor.html">layout::ColumnMajor</a>,</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  arch::OpMultiplyAdd,</div><div class="line"><a name="l01083"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a2acc2e5fb14c4e62ea997d80402730c5"> 1083</a></span>  <span class="keywordtype">bool</span>>;</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span> </div><div class="line"><a name="l01085"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#adbd6a51a9e477d917f5739230a023524"> 1085</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#adbd6a51a9e477d917f5739230a023524">FragmentA</a> = Array<ElementA, Shape::kMK>;</div><div class="line"><a name="l01086"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a687f0bd7056ea8ff518bfed26f027e4f"> 1086</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a687f0bd7056ea8ff518bfed26f027e4f">FragmentB</a> = Array<ElementB, Shape::kKN>;</div><div class="line"><a name="l01087"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a0382879142faec5a4b6190869fc6187f"> 1087</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a0382879142faec5a4b6190869fc6187f">FragmentC</a> = Array<ElementC, Shape::kMN>;</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span> </div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l01090"></a><span class="lineno"><a class="line" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a72fad6edd8b029407aad12fb22937358"> 1090</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a72fad6edd8b029407aad12fb22937358">operator()</a>(</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a0382879142faec5a4b6190869fc6187f">FragmentC</a> & D,</div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#adbd6a51a9e477d917f5739230a023524">FragmentA</a> <span class="keyword">const</span> & A,</div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a687f0bd7056ea8ff518bfed26f027e4f">FragmentB</a> <span class="keyword">const</span> & B,</div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a0382879142faec5a4b6190869fc6187f">FragmentC</a> <span class="keyword">const</span> & C) {</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span> </div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <a class="code" href="structcutlass_1_1gemm_1_1thread_1_1Mma.html">TransposeMma</a> mma;</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span> </div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  mma(D, B, A, C);</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span>  }</div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span> };</div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> </div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span> </div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span> } <span class="comment">// namespace thread</span></div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span> } <span class="comment">// namespace gemm</span></div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span> } <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span> </div><div class="ttc" id="structcutlass_1_1multiply__add_html"><div class="ttname"><a href="structcutlass_1_1multiply__add.html">cutlass::multiply_add</a></div><div class="ttdoc">Fused multiply-add. </div><div class="ttdef"><b>Definition:</b> functional.h:92</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1EnableMma__Crow__SM60_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1EnableMma__Crow__SM60.html">cutlass::gemm::thread::detail::EnableMma_Crow_SM60</a></div><div class="ttdoc">Determines whether to enable thread::Gemm<> specializations compatible with SM50. ...</div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:1030</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e_html_ae9604312ef68941313db07cd4ea86836"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#ae9604312ef68941313db07cd4ea86836">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, LayoutA, LayoutB, layout::RowMajor, false >::FragmentC</a></div><div class="ttdeci">Array< half_t, Shape::kMN > FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:801</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html_a7a47fe0c44571a0a68a43c5a47cf676a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html#a7a47fe0c44571a0a68a43c5a47cf676a">cutlass::gemm::GemmShape::kM</a></div><div class="ttdeci">static int const kM</div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:58</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455_html_a58f282b08f9bdf33863e87838edcff79"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#a58f282b08f9bdf33863e87838edcff79">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::RowMajor, layout::ColumnMajor, true >::FragmentC</a></div><div class="ttdeci">Array< half_t, Shape::kMN > FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:271</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="platform_8h_html_a72f0657181cca64b44eb186b707eb380"><div class="ttname"><a href="platform_8h.html#a72f0657181cca64b44eb186b707eb380">constexpr</a></div><div class="ttdeci">#define constexpr</div><div class="ttdef"><b>Definition:</b> platform.h:137</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_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1_html_a4105c83f7b881c8609c56a55914fcea6"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#a4105c83f7b881c8609c56a55914fcea6">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::ColumnMajor, layout::ColumnMajor, true >::FragmentC</a></div><div class="ttdeci">Array< half_t, Shape::kMN > FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:94</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a_html_a75103e99de4ae19d14678d8ae5b697bd"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#a75103e99de4ae19d14678d8ae5b697bd">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::ColumnMajor, layout::RowMajor, true >::FragmentA</a></div><div class="ttdeci">Array< half_t, Shape::kMK > FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:528</div></div>
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<div class="ttc" id="structcutlass_1_1platform_1_1is__same_html"><div class="ttname"><a href="structcutlass_1_1platform_1_1is__same.html">cutlass::platform::is_same</a></div><div class="ttdoc">std::is_same (false specialization) </div><div class="ttdef"><b>Definition:</b> platform.h:394</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e_html_ac79f4b4fe20aa32e58ffd1d6daba7557"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#ac79f4b4fe20aa32e58ffd1d6daba7557">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, LayoutA, LayoutB, layout::RowMajor, false >::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_sm60.h:809</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2.html">cutlass::gemm::thread::detail::Mma_HFMA2</a></div><div class="ttdoc">Structure to compute the matrix product for HFMA. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:66</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea_html_a0382879142faec5a4b6190869fc6187f"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a0382879142faec5a4b6190869fc6187f">cutlass::gemm::thread::Mma< Shape_, half_t, LayoutA_, half_t, LayoutB_, half_t, layout::RowMajor, arch::OpMultiplyAdd, typename platform::enable_if< detail::EnableMma_Crow_SM60< LayoutA_, LayoutB_ >::value >::type >::FragmentC</a></div><div class="ttdeci">Array< ElementC, Shape::kMN > FragmentC</div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:1087</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04_html_a4fa52e77c752fe0977b68b7494043c32"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#a4fa52e77c752fe0977b68b7494043c32">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::ColumnMajor, layout::ColumnMajor, true >::FragmentB</a></div><div class="ttdeci">Array< half_t, Shape::kKN > FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:441</div></div>
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<div class="ttc" id="structcutlass_1_1half__t_html"><div class="ttname"><a href="structcutlass_1_1half__t.html">cutlass::half_t</a></div><div class="ttdoc">IEEE half-precision floating-point type. </div><div class="ttdef"><b>Definition:</b> half.h:126</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_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea_html_a72fad6edd8b029407aad12fb22937358"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a72fad6edd8b029407aad12fb22937358">cutlass::gemm::thread::Mma< Shape_, half_t, LayoutA_, half_t, LayoutB_, half_t, layout::RowMajor, arch::OpMultiplyAdd, typename platform::enable_if< detail::EnableMma_Crow_SM60< LayoutA_, LayoutB_ >::value >::type >::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="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:1090</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04_html_ad39651f6394d74322ae9f8ce220ccb6f"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#ad39651f6394d74322ae9f8ce220ccb6f">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::ColumnMajor, layout::ColumnMajor, true >::FragmentC</a></div><div class="ttdeci">Array< half_t, Shape::kMN > FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:444</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04_html_afc64bd91665ee573465a07e4eb6dc563"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#afc64bd91665ee573465a07e4eb6dc563">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::ColumnMajor, layout::ColumnMajor, true >::FragmentA</a></div><div class="ttdeci">Array< half_t, Shape::kMK > FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:438</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a_html_a375e71b2b3e9b800b6c5a1f8a8e81881"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a375e71b2b3e9b800b6c5a1f8a8e81881">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::RowMajor, layout::RowMajor, true >::FragmentC</a></div><div class="ttdeci">Array< half_t, Shape::kMN > FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:357</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1_html_ae13e7521a412dd15a6438a565f0db467"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#ae13e7521a412dd15a6438a565f0db467">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::ColumnMajor, layout::ColumnMajor, true >::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_sm60.h:102</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148_html_a882d7a806108fbec527cce945c976e9f"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#a882d7a806108fbec527cce945c976e9f">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::RowMajor, layout::RowMajor, true >::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_sm60.h:723</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c_html_a1d4b72705fca11cc4f01e477fb6aefe5"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#a1d4b72705fca11cc4f01e477fb6aefe5">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::RowMajor, layout::ColumnMajor, true >::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_sm60.h:632</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687_html_a511aed0cec5670783f6dc3d2b26a64a5"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#a511aed0cec5670783f6dc3d2b26a64a5">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::ColumnMajor, layout::RowMajor, true >::FragmentA</a></div><div class="ttdeci">Array< half_t, Shape::kMK > FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:174</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148_html_adbb7b7b310e01a955d0567039b09d55e"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#adbb7b7b310e01a955d0567039b09d55e">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::RowMajor, layout::RowMajor, true >::FragmentB</a></div><div class="ttdeci">Array< half_t, Shape::kKN > FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:712</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c_html_a0d50d8b7290e39ebb5e0cbb7523bd320"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#a0d50d8b7290e39ebb5e0cbb7523bd320">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::RowMajor, layout::ColumnMajor, true >::FragmentC</a></div><div class="ttdeci">Array< half_t, Shape::kMN > FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:624</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="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea_html_af96ae215c5f273447ed44baa1315ffcf"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#af96ae215c5f273447ed44baa1315ffcf">cutlass::gemm::thread::Mma< Shape_, half_t, LayoutA_, half_t, LayoutB_, half_t, layout::RowMajor, arch::OpMultiplyAdd, typename platform::enable_if< detail::EnableMma_Crow_SM60< LayoutA_, LayoutB_ >::value >::type >::Operator</a></div><div class="ttdeci">arch::OpMultiplyAdd Operator</div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:1072</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html_a8b7ab79699355caf179323b7ad4c71fc"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html#a8b7ab79699355caf179323b7ad4c71fc">cutlass::gemm::GemmShape::kK</a></div><div class="ttdeci">static int const kK</div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:60</div></div>
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<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687_html_a38afec0d6f6ff8c7189b0766ecf80425"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#a38afec0d6f6ff8c7189b0766ecf80425">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::ColumnMajor, layout::RowMajor, true >::FragmentB</a></div><div class="ttdeci">Array< half_t, Shape::kKN > FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:177</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578_html_a5a00c6305fd345f12f9469b790e99f12"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a5a00c6305fd345f12f9469b790e99f12">cutlass::gemm::thread::Mma< Shape_, half_t, LayoutA, half_t, LayoutB, half_t, LayoutC, arch::OpMultiplyAdd >::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_sm60.h:975</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1_html_aead4062ad5f251281eeb098351414936"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#aead4062ad5f251281eeb098351414936">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::ColumnMajor, layout::ColumnMajor, true >::FragmentB</a></div><div class="ttdeci">Array< half_t, Shape::kKN > FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:91</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea_html_a687f0bd7056ea8ff518bfed26f027e4f"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a687f0bd7056ea8ff518bfed26f027e4f">cutlass::gemm::thread::Mma< Shape_, half_t, LayoutA_, half_t, LayoutB_, half_t, layout::RowMajor, arch::OpMultiplyAdd, typename platform::enable_if< detail::EnableMma_Crow_SM60< LayoutA_, LayoutB_ >::value >::type >::FragmentB</a></div><div class="ttdeci">Array< ElementB, Shape::kKN > FragmentB</div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:1086</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a_html_ae321ab37ce6b6db0a3546c1626c746e7"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#ae321ab37ce6b6db0a3546c1626c746e7">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::RowMajor, layout::RowMajor, true >::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_sm60.h:365</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578_html_a62084aaf63a7538ba29de4c60d64d133"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a62084aaf63a7538ba29de4c60d64d133">cutlass::gemm::thread::Mma< Shape_, half_t, LayoutA, half_t, LayoutB, half_t, LayoutC, arch::OpMultiplyAdd >::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_sm60.h:969</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148_html_abb2a511d7b8b60cac068df2a9caa52c3"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#abb2a511d7b8b60cac068df2a9caa52c3">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::RowMajor, layout::RowMajor, true >::FragmentA</a></div><div class="ttdeci">Array< half_t, Shape::kMK > FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:709</div></div>
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<div class="ttc" id="structcutlass_1_1layout_1_1LayoutTranspose_html"><div class="ttname"><a href="structcutlass_1_1layout_1_1LayoutTranspose.html">cutlass::layout::LayoutTranspose</a></div><div class="ttdoc">Defines transposes of matrix layouts. </div><div class="ttdef"><b>Definition:</b> layout/matrix.h:921</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a_html_ac4b19bd9753d7b09acbc087a6fe693fe"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#ac4b19bd9753d7b09acbc087a6fe693fe">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::ColumnMajor, layout::RowMajor, true >::FragmentB</a></div><div class="ttdeci">Array< half_t, Shape::kKN > FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:531</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1MmaGeneric.html">cutlass::gemm::thread::MmaGeneric</a></div><div class="ttdoc">Gemplate that handles all packed matrix layouts. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm50.h:65</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b_html_a82f72b2e8729b28e3f8786ea1ededd28"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#a82f72b2e8729b28e3f8786ea1ededd28">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, LayoutA, LayoutB, layout::ColumnMajor, false >::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_sm60.h:888</div></div>
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<div class="ttc" id="reduce_8h_html"><div class="ttname"><a href="reduce_8h.html">reduce.h</a></div><div class="ttdoc">Defines basic thread level reduction with specializations for Array<T, N>. </div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578_html_ac5f3a1ad86714fdce4af1e8a4738a4f7"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#ac5f3a1ad86714fdce4af1e8a4738a4f7">cutlass::gemm::thread::Mma< Shape_, half_t, LayoutA, half_t, LayoutB, half_t, LayoutC, arch::OpMultiplyAdd >::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_sm60.h:978</div></div>
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<div class="ttc" id="structcutlass_1_1platform_1_1enable__if_html"><div class="ttname"><a href="structcutlass_1_1platform_1_1enable__if.html">cutlass::platform::enable_if</a></div><div class="ttdoc">std::enable_if (true specialization) </div><div class="ttdef"><b>Definition:</b> platform.h:315</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687_html_a1dcec61fd63296bec70da397ab6f9fc7"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#a1dcec61fd63296bec70da397ab6f9fc7">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::ColumnMajor, layout::RowMajor, true >::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_sm60.h:188</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_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_1platform_1_1conditional_html"><div class="ttname"><a href="structcutlass_1_1platform_1_1conditional.html">cutlass::platform::conditional</a></div><div class="ttdoc">std::conditional (true specialization) </div><div class="ttdef"><b>Definition:</b> platform.h:325</div></div>
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<div class="ttc" id="platform_8h_html_adde4c9ea91b753491851361a4198c009"><div class="ttname"><a href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a></div><div class="ttdeci">#define static_assert(__e, __m)</div><div class="ttdef"><b>Definition:</b> platform.h:153</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455_html_abd3217abf12bdf7810408cd0af10e684"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#abd3217abf12bdf7810408cd0af10e684">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::RowMajor, layout::ColumnMajor, true >::FragmentA</a></div><div class="ttdeci">Array< half_t, Shape::kMK > FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:265</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1_html_a5e4e2eb95afb820aad6a4609bd910089"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_72621f7ab9ae4a4ba4fe9725cf8e89c1.html#a5e4e2eb95afb820aad6a4609bd910089">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::ColumnMajor, layout::ColumnMajor, true >::FragmentA</a></div><div class="ttdeci">Array< half_t, Shape::kMK > FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:88</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b_html_a0f5b61c1425281945b40db7038be01d7"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#a0f5b61c1425281945b40db7038be01d7">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, LayoutA, LayoutB, layout::ColumnMajor, false >::FragmentC</a></div><div class="ttdeci">Array< half_t, Shape::kMN > FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:880</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578_html_a7eb69f25c0b516fda203957a230df3ee"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a7eb69f25c0b516fda203957a230df3ee">cutlass::gemm::thread::Mma< Shape_, half_t, LayoutA, half_t, LayoutB, half_t, LayoutC, arch::OpMultiplyAdd >::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_sm60.h:986</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e_html_aa6c00f1efb2ee4e5d5dd71f83cc3cedd"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#aa6c00f1efb2ee4e5d5dd71f83cc3cedd">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, LayoutA, LayoutB, layout::RowMajor, false >::FragmentA</a></div><div class="ttdeci">Array< half_t, Shape::kMK > FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:795</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a_html_a32394ddf5b5bb59cc08aaa37e247fb12"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a32394ddf5b5bb59cc08aaa37e247fb12">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::RowMajor, layout::RowMajor, true >::FragmentA</a></div><div class="ttdeci">Array< half_t, Shape::kMK > FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:351</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04_html_a2349d9640c696096eba961539c79bb3f"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l26a133b13650c1d058273e3649f60f04.html#a2349d9640c696096eba961539c79bb3f">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::ColumnMajor, layout::ColumnMajor, true >::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_sm60.h:452</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_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c_html_ae9681b4ff3427a57ec0f67fb8ae88fe6"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#ae9681b4ff3427a57ec0f67fb8ae88fe6">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::RowMajor, layout::ColumnMajor, true >::FragmentB</a></div><div class="ttdeci">Array< half_t, Shape::kKN > FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:621</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578_html_a041bfce41e4c95a7a67dc4156173e1f4"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a041bfce41e4c95a7a67dc4156173e1f4">cutlass::gemm::thread::Mma< Shape_, half_t, LayoutA, half_t, LayoutB, half_t, LayoutC, arch::OpMultiplyAdd >::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_sm60.h:957</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_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b_html_af3b9e18d19534c5326766bdb87cebb22"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#af3b9e18d19534c5326766bdb87cebb22">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, LayoutA, LayoutB, layout::ColumnMajor, false >::FragmentB</a></div><div class="ttdeci">Array< half_t, Shape::kKN > FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:877</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148_html_a8c02fc1a052ea30219a6a31c2dfb92d5"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l086c058a15d6c79558e4f3d9ff1dc148.html#a8c02fc1a052ea30219a6a31c2dfb92d5">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::RowMajor, layout::RowMajor, true >::FragmentC</a></div><div class="ttdeci">Array< half_t, Shape::kMN > FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:715</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_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a_html_aee67b84a9eca972334278ad84988ffa7"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#aee67b84a9eca972334278ad84988ffa7">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::ColumnMajor, layout::RowMajor, true >::FragmentC</a></div><div class="ttdeci">Array< half_t, Shape::kMN > FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:534</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687_html_ab020c25ee9d01c16ec03efc64b6dafe2"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_94c813e3bbfb6f9857c155166f772687.html#ab020c25ee9d01c16ec03efc64b6dafe2">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::ColumnMajor, layout::RowMajor, true >::FragmentC</a></div><div class="ttdeci">Array< half_t, Shape::kMN > FragmentC</div><div class="ttdoc">C operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:180</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e_html_a3506cc0bc2411d9af2d2f2a019f73111"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_07ac147cb320ee0d28ff8e78eb4cd330e.html#a3506cc0bc2411d9af2d2f2a019f73111">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, LayoutA, LayoutB, layout::RowMajor, false >::FragmentB</a></div><div class="ttdeci">Array< half_t, Shape::kKN > FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:798</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c_html_a125ca8c88a24f1e23716be8f25d6735d"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01l2aa4d2fd2e940e0d0cf7c47bc8f6017c.html#a125ca8c88a24f1e23716be8f25d6735d">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::RowMajor, layout::ColumnMajor, true >::FragmentA</a></div><div class="ttdeci">Array< half_t, Shape::kMK > FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:618</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455_html_a99594cf2b14d51d930aeffe5f2a2eedd"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#a99594cf2b14d51d930aeffe5f2a2eedd">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::RowMajor, layout::ColumnMajor, true >::FragmentB</a></div><div class="ttdeci">Array< half_t, Shape::kKN > FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:268</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="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578_html_a64b2cf33786247c4acd872fb8856abd5"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA_00_01half__t_00_01L066c9d2371712cdf0cac099ca9bcc578.html#a64b2cf33786247c4acd872fb8856abd5">cutlass::gemm::thread::Mma< Shape_, half_t, LayoutA, half_t, LayoutB, half_t, LayoutC, arch::OpMultiplyAdd >::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_sm60.h:972</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a_html_a6d82503a204f8ce40c25cd3de379a49a"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_bf6d29bb09a025e7b96942809743e28a.html#a6d82503a204f8ce40c25cd3de379a49a">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::RowMajor, layout::RowMajor, true >::FragmentB</a></div><div class="ttdeci">Array< half_t, Shape::kKN > FragmentB</div><div class="ttdoc">B operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:354</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a_html_a620a8cd5007a41463672e2dcfdfe4b2e"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1RowMajor_00_01lbba3a796be96a0276693ef6b259ecc4a.html#a620a8cd5007a41463672e2dcfdfe4b2e">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::RowMajor, layout::ColumnMajor, layout::RowMajor, true >::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_sm60.h:542</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_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455_html_a6b501c0685b9b181fa48dba331d5a6ec"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01layout_1_1ColumnMajor_00_17070298bc4cced0a1b98aee2bb6b455.html#a6b501c0685b9b181fa48dba331d5a6ec">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, layout::ColumnMajor, layout::RowMajor, layout::ColumnMajor, true >::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_sm60.h:279</div></div>
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<div class="ttc" id="functional_8h_html"><div class="ttname"><a href="functional_8h.html">functional.h</a></div><div class="ttdoc">Define basic numeric operators with specializations for Array<T, N>. SIMD-ize where possible...</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea_html_adbd6a51a9e477d917f5739230a023524"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#adbd6a51a9e477d917f5739230a023524">cutlass::gemm::thread::Mma< Shape_, half_t, LayoutA_, half_t, LayoutB_, half_t, layout::RowMajor, arch::OpMultiplyAdd, typename platform::enable_if< detail::EnableMma_Crow_SM60< LayoutA_, LayoutB_ >::value >::type >::FragmentA</a></div><div class="ttdeci">Array< ElementA, Shape::kMK > FragmentA</div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:1085</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1thread_1_1Reduce_html"><div class="ttname"><a href="structcutlass_1_1reduction_1_1thread_1_1Reduce.html">cutlass::reduction::thread::Reduce</a></div><div class="ttdoc">Structure to compute the thread level reduction. </div><div class="ttdef"><b>Definition:</b> reduce.h:43</div></div>
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<div class="ttc" id="namespacecutlass_1_1arch_html_abe575ad586930bfba45449455d3fad58"><div class="ttname"><a href="namespacecutlass_1_1arch.html#abe575ad586930bfba45449455d3fad58">cutlass::arch::mac</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Array< T, N > mac(Array< T, N > const &a, Array< T, N > const &b, Array< T, N > const &c)</div><div class="ttdef"><b>Definition:</b> simd.h:84</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea_html_a951f25ff3bb7a76bac1f867ee21c657f"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1Mma_3_01Shape___00_01half__t_00_01LayoutA___00_01half__t_00_088f0e99e501b6012297eb30b4e89bcea.html#a951f25ff3bb7a76bac1f867ee21c657f">cutlass::gemm::thread::Mma< Shape_, half_t, LayoutA_, half_t, LayoutB_, half_t, layout::RowMajor, arch::OpMultiplyAdd, typename platform::enable_if< detail::EnableMma_Crow_SM60< LayoutA_, LayoutB_ >::value >::type >::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:1065</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b_html_acf8a91ee6716f8e2c3b9e8f7e805c065"><div class="ttname"><a href="structcutlass_1_1gemm_1_1thread_1_1detail_1_1Mma__HFMA2_3_01Shape_00_01LayoutA_00_01LayoutB_00_0e1104c65871c539155bd3a0c7631928b.html#acf8a91ee6716f8e2c3b9e8f7e805c065">cutlass::gemm::thread::detail::Mma_HFMA2< Shape, LayoutA, LayoutB, layout::ColumnMajor, false >::FragmentA</a></div><div class="ttdeci">Array< half_t, Shape::kMK > FragmentA</div><div class="ttdoc">A operand storage. </div><div class="ttdef"><b>Definition:</b> gemm/thread/mma_sm60.h:874</div></div>
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<div class="ttc" id="structcutlass_1_1gemm_1_1GemmShape_html_a9fcbaa4b47b83d0c8a09979ad5c98a1e"><div class="ttname"><a href="structcutlass_1_1gemm_1_1GemmShape.html#a9fcbaa4b47b83d0c8a09979ad5c98a1e">cutlass::gemm::GemmShape::kN</a></div><div class="ttdeci">static int const kN</div><div class="ttdef"><b>Definition:</b> include/cutlass/gemm/gemm.h:59</div></div>
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