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<a href="mma__complex__tensor__op_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="array_8h.html">cutlass/array.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="complex_8h.html">cutlass/complex.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="numeric__types_8h.html">cutlass/numeric_types.h</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="matrix__shape_8h.html">cutlass/matrix_shape.h</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="memory__sm75_8h.html">cutlass/arch/memory_sm75.h</a>"</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include "<a class="code" href="mma__sm75_8h.html">cutlass/arch/mma_sm75.h</a>"</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</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="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="gemm_2warp_2mma_8h.html">cutlass/gemm/warp/mma.h</a>"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor">#include "<a class="code" href="mma__tensor__op__policy_8h.html">cutlass/gemm/warp/mma_tensor_op_policy.h</a>"</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor">#include "<a class="code" href="mma__tensor__op_8h.html">cutlass/gemm/warp/mma_tensor_op.h</a>"</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor">#include "<a class="code" href="mma__tensor__op__tile__iterator_8h.html">cutlass/gemm/warp/mma_tensor_op_tile_iterator.h</a>"</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="keyword">namespace </span>gemm {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="keyword">namespace </span>warp {</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> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">typename</span> RealElementA,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">typename</span> LayoutA_,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">typename</span> RealElementB,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">typename</span> LayoutB_,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">typename</span> RealElementC,</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keyword">typename</span> LayoutC_,</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">typename</span> Policy_,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cde">ComplexTransform</a> TransformA = <a class="code" href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cdea35c3ace1970663a16e5c65baa5941b13">ComplexTransform::kNone</a>,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cde">ComplexTransform</a> TransformB = <a class="code" href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cdea35c3ace1970663a16e5c65baa5941b13">ComplexTransform::kNone</a>,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">typename</span> Enable = <span class="keywordtype">bool</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> ></div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp.html"> 80</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp.html">MmaComplexTensorOp</a>;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">typename</span> Shape_,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">typename</span> RealElementA,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">typename</span> LayoutA_,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">typename</span> RealElementB,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">typename</span> LayoutB_,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">typename</span> RealElementC,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">typename</span> LayoutC_,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">typename</span> Policy_,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cde">ComplexTransform</a> TransformA,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cde">ComplexTransform</a> TransformB,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">typename</span> Enable</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> ></div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html"> 109</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp.html">MmaComplexTensorOp</a><</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  Shape_, </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classcutlass_1_1complex.html">complex</a><RealElementA>, </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  LayoutA_, </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="classcutlass_1_1complex.html">complex</a><RealElementB>,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  LayoutB_,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classcutlass_1_1complex.html">complex</a><RealElementC>,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  LayoutC_,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  Policy_,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  TransformA,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  TransformB,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  Enable> {</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a6833eff684c45670ba3e330dbcd7bc20"> 123</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a6833eff684c45670ba3e330dbcd7bc20">Shape</a> = Shape_;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a5d28e134ad64700015efd0a3d23e4e62"> 126</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1complex.html">ElementA</a> = <a class="code" href="classcutlass_1_1complex.html">complex<RealElementA></a>;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#af47012d8fd28d82558d2ea39c1bba8f2"> 129</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#af47012d8fd28d82558d2ea39c1bba8f2">LayoutA</a> = LayoutA_;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#aa1e1b0197fb09a0b858e19c611727a74"> 132</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1complex.html">ElementB</a> = <a class="code" href="classcutlass_1_1complex.html">complex<RealElementB></a>;</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a7f2b34a8389659ce02fbeeae5a4fc8c3"> 135</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a7f2b34a8389659ce02fbeeae5a4fc8c3">LayoutB</a> = LayoutB_;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a8857a7a5f898ec114fbe72a27dc9df61"> 138</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1complex.html">ElementC</a> = <a class="code" href="classcutlass_1_1complex.html">complex<RealElementC></a>;</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#acf4d11de96716652758b60ba06d641cc"> 141</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#acf4d11de96716652758b60ba06d641cc">LayoutC</a> = LayoutC_;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> </div><div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#ad3452123ebc1b384b4eef4b6823a10d8"> 144</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#ad3452123ebc1b384b4eef4b6823a10d8">Policy</a> = Policy_;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a4609afc5d188db147aed72b6ffaff7cf"> 147</a></span>  <span class="keyword">static</span> <a class="code" href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cde">ComplexTransform</a> <span class="keyword">const</span> kTransformA = TransformA;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#abf449b3aef0c8ec33f15fecbce4cd691"> 150</a></span>  <span class="keyword">static</span> <a class="code" href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cde">ComplexTransform</a> <span class="keyword">const</span> kTransformB = TransformB;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00153"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a132f2dc938c51cfc8aaec2c0fefd7be1"> 153</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a132f2dc938c51cfc8aaec2c0fefd7be1">OperatorClass</a> = arch::OpClassTensorOp;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span> </div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a3c6b8cbbbbd6c7c79da2c81ef8bc19f1"> 156</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kThreadCount = 32;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">IteratorA</a> = <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a><</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape<Shape::kM, Shape::kK></a>,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a30f767aa191cd5d261e767fd78393607">Operand::kA</a>,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="classcutlass_1_1complex.html">ElementA</a>,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#af47012d8fd28d82558d2ea39c1bba8f2">LayoutA</a>,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape<Policy::Operator::Shape::kM, Policy::Operator::Shape::kK></a>,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  Policy::OpDelta::kRow,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  32,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  1</div><div class="line"><a name="l00170"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#af9f720bfdb70b44963b60afd41e6a4ed"> 170</a></span>  >;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00173"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a29b3db60b4c7fa4d269e76dc2a6c6732"> 173</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a29b3db60b4c7fa4d269e76dc2a6c6732">FragmentA</a> = <span class="keyword">typename</span> IteratorA::Fragment;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">IteratorB</a> = <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a><</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape<Shape::kK, Shape::kN></a>,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a3e56c011b37f0bc78fb9eb175c1181c6">Operand::kB</a>,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="classcutlass_1_1complex.html">ElementB</a>,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a7f2b34a8389659ce02fbeeae5a4fc8c3">LayoutB</a>,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape<Policy::Operator::Shape::kK, Policy::Operator::Shape::kN></a>,</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  Policy::OpDelta::kColumn,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  32,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  1</div><div class="line"><a name="l00185"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#afca74199eea6e5eaaf791202684b5245"> 185</a></span>  >;</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a71e50c4aa4dad62ba4cea49c92d377c3"> 188</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a71e50c4aa4dad62ba4cea49c92d377c3">FragmentB</a> = <span class="keyword">typename</span> IteratorB::Fragment;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  !(Shape::kM % Policy::Operator::Shape::kM) && </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  !(Shape::kN % Policy::Operator::Shape::kN),</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="stringliteral">"Shape of warp-level Mma must be divisible by operator shape."</span>);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1MatrixShape.html">MmaIterations</a> = <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape</a><</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  Shape::kM / Policy::Operator::Shape::kM,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  Shape::kN / Policy::Operator::Shape::kN</div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a9a09561812d929c605312ab1c80d16fa"> 200</a></span>  >;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpAccumulatorTileIterator.html">IteratorC</a> = <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpAccumulatorTileIterator.html">MmaTensorOpAccumulatorTileIterator</a><</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape<Shape::kM, Shape::kN></a>, </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="classcutlass_1_1complex.html">ElementC</a>, </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#acf4d11de96716652758b60ba06d641cc">LayoutC</a>,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keyword">typename</span> Policy::Operator::Shape, </div><div class="line"><a name="l00208"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a91ed53ba48c21c9b8898eeef378e4a33"> 208</a></span>  <span class="keyword">typename</span> Policy::OpDelta>;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00214"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a39f05934bf2f0201344b464449248f4c"> 214</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a39f05934bf2f0201344b464449248f4c">FragmentC</a> = <span class="keyword">typename</span> IteratorC::Fragment;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  FragmentC::kElements == 2 * MmaIterations::kCount * Policy::Operator::FragmentC::kElements,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="stringliteral">"Unexpected planar complex fragment length."</span>);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="comment">//</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="comment">//</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">typename</span> Policy::Operator mma;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="comment">//</span></div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="comment">//</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00237"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a028ca8153d786b8d0855db3c9076bf2d"> 237</a></span>  <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a028ca8153d786b8d0855db3c9076bf2d">MmaComplexTensorOp</a>() {}</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00241"></a><span class="lineno"><a class="line" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#ab44fc2721d13e50c3cc4396d6adbc03f"> 241</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#ab44fc2721d13e50c3cc4396d6adbc03f">operator()</a>(</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a39f05934bf2f0201344b464449248f4c">FragmentC</a> &D, </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a29b3db60b4c7fa4d269e76dc2a6c6732">FragmentA</a> <span class="keyword">const</span> &A, </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a71e50c4aa4dad62ba4cea49c92d377c3">FragmentB</a> <span class="keyword">const</span> &B, </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <a class="code" href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a39f05934bf2f0201344b464449248f4c">FragmentC</a> <span class="keyword">const</span> &C)<span class="keyword"> const </span>{</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="comment">// Alias types for underlying real-valued matrix multiply operator</span></div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">using</span> MmaOperandA = <span class="keyword">typename</span> Policy::Operator::FragmentA;</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keyword">using</span> MmaOperandB = <span class="keyword">typename</span> Policy::Operator::FragmentB;</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">using</span> MmaOperandC = <span class="keyword">typename</span> Policy::Operator::FragmentC;</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(MmaOperandA::kElements == 1, </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="stringliteral">"This implementation only supports math instructions in which exactly one element is needed for the A operand."</span></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="stringliteral">"We can geneneralize later."</span>);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(MmaOperandB::kElements == 1, </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="stringliteral">"This implementation only supports math instructions in which exactly one element is needed for the A operand."</span></div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="stringliteral">"We can geneneralize later."</span>);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  D = C;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> m = 0; m < MmaIterations::kRow; ++m) {</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="comment">// mma(accum.real(), a.real(), b.real(), accum.real());</span></div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < MmaIterations::kColumn; ++n) {</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="comment">// Pack operands together. This may result in actual MOVs </span></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  MmaOperandA operand_A;</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  MmaOperandB operand_B;</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>  operand_A[0] = A[m].real();</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  operand_B[0] = B[n].real();</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="comment">// Real-valued accumulator part</span></div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  MmaOperandC *accum = <span class="keyword">reinterpret_cast<</span>MmaOperandC *<span class="keyword">></span>(&D) + </div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  (m + n * MmaIterations::kRow);</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span> </div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  mma(*accum, operand_A, operand_B, *accum);</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="comment">// mma(accum.imag(), a.real(), b.imag(), accum.imag()); </span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = MmaIterations::kColumn - 1; n >= 0; --n) {</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="comment">// Pack operands together. This may result in actual MOVs </span></div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  MmaOperandA operand_A;</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  MmaOperandB operand_B;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  operand_A[0] = A[m].real();</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  operand_B[0] = (kTransformB == <a class="code" href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cdea8be1522542c86e700b5e787b1aabc70b">ComplexTransform::kConjugate</a> ? -B[n].imag() : B[n].imag());</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="comment">// Complex-valued accumulator part</span></div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  MmaOperandC *accum = <span class="keyword">reinterpret_cast<</span>MmaOperandC *<span class="keyword">></span>(&D) + </div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  (m + n * MmaIterations::kRow) + MmaIterations::kCount;</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> </div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  mma(*accum, operand_A, operand_B, *accum);</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  }</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="comment">// mma(accum.real(), -a.imag(), b.imag(), accum.real())</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < MmaIterations::kColumn; ++n) {</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>  <span class="comment">// Pack operands together. This may result in actual MOVs </span></div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  MmaOperandA operand_A;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  MmaOperandB operand_B;</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> </div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="comment">// A imaginary part is intentionally negated</span></div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  operand_A[0] = (kTransformA == <a class="code" href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cdea8be1522542c86e700b5e787b1aabc70b">ComplexTransform::kConjugate</a> ? A[m].imag() : -A[m].imag());</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  operand_B[0] = (kTransformB == <a class="code" href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cdea8be1522542c86e700b5e787b1aabc70b">ComplexTransform::kConjugate</a> ? -B[n].imag() : B[n].imag());</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> </div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="comment">// Complex-valued accumulator part</span></div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  MmaOperandC *accum = <span class="keyword">reinterpret_cast<</span>MmaOperandC *<span class="keyword">></span>(&D) + </div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  (m + n * MmaIterations::kRow);</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>  mma(*accum, operand_A, operand_B, *accum);</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> </div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="comment">// mma(accum.imag(), a.imag(), b.real(), accum.imag())</span></div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = MmaIterations::kColumn - 1; n >= 0; --n) {</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="comment">// Pack operands together. This may result in actual MOVs </span></div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  MmaOperandA operand_A;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  MmaOperandB operand_B;</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>  operand_A[0] = (kTransformA == <a class="code" href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cdea8be1522542c86e700b5e787b1aabc70b">ComplexTransform::kConjugate</a> ? -A[m].imag() : A[m].imag());</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  operand_B[0] = B[n].real();</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>  <span class="comment">// Real-valued accumulator part</span></div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  MmaOperandC *accum = <span class="keyword">reinterpret_cast<</span>MmaOperandC *<span class="keyword">></span>(&D) + </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  (m + n * MmaIterations::kRow) + MmaIterations::kCount;</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  mma(*accum, operand_A, operand_B, *accum);</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  }</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  }</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  }</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> };</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> <span class="comment">// TODO - partial specializations of real*complex and complex*real</span></div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> } <span class="comment">// namespace warp</span></div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> } <span class="comment">// namespace gemm</span></div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> } <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div><div class="ttc" id="structcutlass_1_1MatrixShape_html"><div class="ttname"><a href="structcutlass_1_1MatrixShape.html">cutlass::MatrixShape</a></div><div class="ttdoc">Describes the size of a matrix tile. </div><div class="ttdef"><b>Definition:</b> matrix_shape.h:42</div></div>
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<div class="ttc" id="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="namespacecutlass_html_a59f08b1b99c4d52257b962d35ba55cde"><div class="ttname"><a href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cde">cutlass::ComplexTransform</a></div><div class="ttdeci">ComplexTransform</div><div class="ttdoc">Enumeraed type describing a transformation on a complex value. </div><div class="ttdef"><b>Definition:</b> complex.h:43</div></div>
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<div class="ttc" id="complex_8h_html"><div class="ttname"><a href="complex_8h.html">complex.h</a></div></div>
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<div class="ttc" id="memory__sm75_8h_html"><div class="ttname"><a href="memory__sm75_8h.html">memory_sm75.h</a></div><div class="ttdoc">Architecture-specific operators on memory added for SM75. </div></div>
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<div class="ttc" id="mma__tensor__op__tile__iterator_8h_html"><div class="ttname"><a href="mma__tensor__op__tile__iterator_8h.html">mma_tensor_op_tile_iterator.h</a></div><div class="ttdoc">Defines iterators used by warp-level matrix multiply operations targeting Tensor Cores. </div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216_html_a29b3db60b4c7fa4d269e76dc2a6c6732"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a29b3db60b4c7fa4d269e76dc2a6c6732">cutlass::gemm::warp::MmaComplexTensorOp< Shape_, complex< RealElementA >, LayoutA_, complex< RealElementB >, LayoutB_, complex< RealElementC >, LayoutC_, Policy_, TransformA, TransformB, Enable >::FragmentA</a></div><div class="ttdeci">typename IteratorA::Fragment FragmentA</div><div class="ttdoc">Storage for A tile. </div><div class="ttdef"><b>Definition:</b> mma_complex_tensor_op.h:173</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="namespacecutlass_html_a59f08b1b99c4d52257b962d35ba55cdea35c3ace1970663a16e5c65baa5941b13"><div class="ttname"><a href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cdea35c3ace1970663a16e5c65baa5941b13">cutlass::ComplexTransform::kNone</a></div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216_html_a7f2b34a8389659ce02fbeeae5a4fc8c3"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a7f2b34a8389659ce02fbeeae5a4fc8c3">cutlass::gemm::warp::MmaComplexTensorOp< Shape_, complex< RealElementA >, LayoutA_, complex< RealElementB >, LayoutB_, complex< RealElementC >, LayoutC_, Policy_, TransformA, TransformB, Enable >::LayoutB</a></div><div class="ttdeci">LayoutB_ LayoutB</div><div class="ttdoc">Layout of multiplicand B. </div><div class="ttdef"><b>Definition:</b> mma_complex_tensor_op.h:135</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216_html_a71e50c4aa4dad62ba4cea49c92d377c3"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a71e50c4aa4dad62ba4cea49c92d377c3">cutlass::gemm::warp::MmaComplexTensorOp< Shape_, complex< RealElementA >, LayoutA_, complex< RealElementB >, LayoutB_, complex< RealElementC >, LayoutC_, Policy_, TransformA, TransformB, Enable >::FragmentB</a></div><div class="ttdeci">typename IteratorB::Fragment FragmentB</div><div class="ttdoc">Storage for B tile. </div><div class="ttdef"><b>Definition:</b> mma_complex_tensor_op.h:188</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_html"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp.html">cutlass::gemm::warp::MmaComplexTensorOp</a></div><div class="ttdef"><b>Definition:</b> mma_complex_tensor_op.h:80</div></div>
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<div class="ttc" id="array_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div><div class="ttdoc">Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...</div></div>
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<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
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<div class="ttc" id="gemm_2warp_2mma_8h_html"><div class="ttname"><a href="gemm_2warp_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="namespacecutlass_1_1gemm_html_a34338284023da7403c9ecbd3f406b2a6a30f767aa191cd5d261e767fd78393607"><div class="ttname"><a href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a30f767aa191cd5d261e767fd78393607">cutlass::gemm::Operand::kA</a></div></div>
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<div class="ttc" id="matrix__shape_8h_html"><div class="ttname"><a href="matrix__shape_8h.html">matrix_shape.h</a></div><div class="ttdoc">Defines a Shape template for matrix tiles. </div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpAccumulatorTileIterator_html"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpAccumulatorTileIterator.html">cutlass::gemm::warp::MmaTensorOpAccumulatorTileIterator</a></div><div class="ttdef"><b>Definition:</b> mma_tensor_op_tile_iterator.h:1794</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216_html_a39f05934bf2f0201344b464449248f4c"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a39f05934bf2f0201344b464449248f4c">cutlass::gemm::warp::MmaComplexTensorOp< Shape_, complex< RealElementA >, LayoutA_, complex< RealElementB >, LayoutB_, complex< RealElementC >, LayoutC_, Policy_, TransformA, TransformB, Enable >::FragmentC</a></div><div class="ttdeci">typename IteratorC::Fragment FragmentC</div><div class="ttdef"><b>Definition:</b> mma_complex_tensor_op.h:214</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216_html_a6833eff684c45670ba3e330dbcd7bc20"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a6833eff684c45670ba3e330dbcd7bc20">cutlass::gemm::warp::MmaComplexTensorOp< Shape_, complex< RealElementA >, LayoutA_, complex< RealElementB >, LayoutB_, complex< RealElementC >, LayoutC_, Policy_, TransformA, TransformB, Enable >::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdoc">Shape of warp-level matrix operation (concept: GemmShape) </div><div class="ttdef"><b>Definition:</b> mma_complex_tensor_op.h:123</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216_html_a028ca8153d786b8d0855db3c9076bf2d"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a028ca8153d786b8d0855db3c9076bf2d">cutlass::gemm::warp::MmaComplexTensorOp< Shape_, complex< RealElementA >, LayoutA_, complex< RealElementB >, LayoutB_, complex< RealElementC >, LayoutC_, Policy_, TransformA, TransformB, Enable >::MmaComplexTensorOp</a></div><div class="ttdeci">CUTLASS_DEVICE MmaComplexTensorOp()</div><div class="ttdoc">Ctor. </div><div class="ttdef"><b>Definition:</b> mma_complex_tensor_op.h:237</div></div>
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<div class="ttc" id="numeric__types_8h_html"><div class="ttname"><a href="numeric__types_8h.html">numeric_types.h</a></div><div class="ttdoc">Top-level include for all CUTLASS numeric types. </div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_html"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a></div><div class="ttdef"><b>Definition:</b> mma_tensor_op_tile_iterator.h:75</div></div>
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<div class="ttc" id="platform_8h_html_adde4c9ea91b753491851361a4198c009"><div class="ttname"><a href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a></div><div class="ttdeci">#define static_assert(__e, __m)</div><div class="ttdef"><b>Definition:</b> platform.h:153</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216_html_a132f2dc938c51cfc8aaec2c0fefd7be1"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#a132f2dc938c51cfc8aaec2c0fefd7be1">cutlass::gemm::warp::MmaComplexTensorOp< Shape_, complex< RealElementA >, LayoutA_, complex< RealElementB >, LayoutB_, complex< RealElementC >, LayoutC_, Policy_, TransformA, TransformB, Enable >::OperatorClass</a></div><div class="ttdeci">arch::OpClassTensorOp OperatorClass</div><div class="ttdoc">Indicates class of matrix operator. </div><div class="ttdef"><b>Definition:</b> mma_complex_tensor_op.h:153</div></div>
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<div class="ttc" id="classcutlass_1_1complex_html"><div class="ttname"><a href="classcutlass_1_1complex.html">cutlass::complex</a></div><div class="ttdef"><b>Definition:</b> complex.h:92</div></div>
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<div class="ttc" id="namespacecutlass_html_a59f08b1b99c4d52257b962d35ba55cdea8be1522542c86e700b5e787b1aabc70b"><div class="ttname"><a href="namespacecutlass.html#a59f08b1b99c4d52257b962d35ba55cdea8be1522542c86e700b5e787b1aabc70b">cutlass::ComplexTransform::kConjugate</a></div></div>
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<div class="ttc" id="mma__sm75_8h_html"><div class="ttname"><a href="mma__sm75_8h.html">mma_sm75.h</a></div><div class="ttdoc">Matrix multiply for SM75. </div></div>
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<div class="ttc" id="namespacecutlass_1_1gemm_html_a34338284023da7403c9ecbd3f406b2a6a3e56c011b37f0bc78fb9eb175c1181c6"><div class="ttname"><a href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6a3e56c011b37f0bc78fb9eb175c1181c6">cutlass::gemm::Operand::kB</a></div><div class="ttdoc">A multiplicand. </div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216_html_ad3452123ebc1b384b4eef4b6823a10d8"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#ad3452123ebc1b384b4eef4b6823a10d8">cutlass::gemm::warp::MmaComplexTensorOp< Shape_, complex< RealElementA >, LayoutA_, complex< RealElementB >, LayoutB_, complex< RealElementC >, LayoutC_, Policy_, TransformA, TransformB, Enable >::Policy</a></div><div class="ttdeci">Policy_ Policy</div><div class="ttdoc">Shape of the warp in units of thread (concept: MmaLanePolicySimt) </div><div class="ttdef"><b>Definition:</b> mma_complex_tensor_op.h:144</div></div>
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<div class="ttc" id="mma__tensor__op_8h_html"><div class="ttname"><a href="mma__tensor__op_8h.html">mma_tensor_op.h</a></div><div class="ttdoc">Templates implementing warp-level matrix multiply-accumulate operations targeting Tensor Cores...</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="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216_html_ab44fc2721d13e50c3cc4396d6adbc03f"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#ab44fc2721d13e50c3cc4396d6adbc03f">cutlass::gemm::warp::MmaComplexTensorOp< Shape_, complex< RealElementA >, LayoutA_, complex< RealElementB >, LayoutB_, complex< RealElementC >, LayoutC_, Policy_, TransformA, TransformB, Enable >::operator()</a></div><div class="ttdeci">CUTLASS_DEVICE void operator()(FragmentC &D, FragmentA const &A, FragmentB const &B, FragmentC const &C) const </div><div class="ttdoc">Performs a warp-level matrix multiply-accumulate operation. </div><div class="ttdef"><b>Definition:</b> mma_complex_tensor_op.h:241</div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216_html_acf4d11de96716652758b60ba06d641cc"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#acf4d11de96716652758b60ba06d641cc">cutlass::gemm::warp::MmaComplexTensorOp< Shape_, complex< RealElementA >, LayoutA_, complex< RealElementB >, LayoutB_, complex< RealElementC >, LayoutC_, Policy_, TransformA, TransformB, Enable >::LayoutC</a></div><div class="ttdeci">LayoutC_ LayoutC</div><div class="ttdoc">Layout of accumulator matrix C. </div><div class="ttdef"><b>Definition:</b> mma_complex_tensor_op.h:141</div></div>
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<div class="ttc" id="mma__tensor__op__policy_8h_html"><div class="ttname"><a href="mma__tensor__op__policy_8h.html">mma_tensor_op_policy.h</a></div><div class="ttdoc">Policy describing implementation details of warp-level GEMM targeting Tensor Cores. </div></div>
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<div class="ttc" id="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216_html_af47012d8fd28d82558d2ea39c1bba8f2"><div class="ttname"><a href="classcutlass_1_1gemm_1_1warp_1_1MmaComplexTensorOp_3_01Shape___00_01complex_3_01RealElementA_01_146441010dad1f40eb51b6dae3ded216.html#af47012d8fd28d82558d2ea39c1bba8f2">cutlass::gemm::warp::MmaComplexTensorOp< Shape_, complex< RealElementA >, LayoutA_, complex< RealElementB >, LayoutB_, complex< RealElementC >, LayoutC_, Policy_, TransformA, TransformB, Enable >::LayoutA</a></div><div class="ttdeci">LayoutA_ LayoutA</div><div class="ttdoc">Layout of multiplicand A. </div><div class="ttdef"><b>Definition:</b> mma_complex_tensor_op.h:129</div></div>
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