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<li class="navelem"><a class="el" href="dir_d44c64559bbebec7f509842c48db8b23.html">include</a></li><li class="navelem"><a class="el" href="dir_6baf2bb612a2f0daa69af3101ede80a1.html">cutlass</a></li><li class="navelem"><a class="el" href="dir_ac488927e63b76ba9cb3ad9c317bbde9.html">reduction</a></li> </ul>
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<div class="title">batched_reduction_traits.h</div> </div>
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<a href="batched__reduction__traits_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> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "cutlass/shape.h"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="reduction_2threadblock__swizzle_8h.html">cutlass/reduction/threadblock_swizzle.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="batched__reduction_8h.html">cutlass/reduction/batched_reduction.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "cutlass/gemm/linear_scaling.h"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace </span>reduction {</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="comment">/*</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment">OutputTile defines the work load per thread block</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment">Subtile defines the work load per thread block per iteration</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment">OutputTile / Subtile = number of iterations within a kernel</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment">ThreadShape defines the work load per thread</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment">Subtile / ThreadShape = number of threads per thread block</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment">*/</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">typename</span> ScalarA_,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">typename</span> ScalarC_,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">typename</span> ScalarD_,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">typename</span> ScalarAlphaBeta_,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">typename</span> ScalarAccum_,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">int</span> ReductionSize_ = 1,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">typename</span> OutputTile_ = Shape<1, 1, 128>,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">typename</span> SubTile_ = Shape<1, 1, 64>,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">typename</span> ThreadShape_ = Shape<1, 1, 2>,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">typename</span> Index_ = int,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">typename</span> BlockSwizzle_ = DefaultBlockSwizzle,</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordtype">int</span> maxInReg_ = 160,</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordtype">int</span> maxOutReg_ = 64,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">typename</span> Functor_ = <span class="keyword">typename</span> cutlass::gemm::LinearScaling<ScalarAlphaBeta_, typename cutlass::gemm::FragmentMultiplyAdd<ScalarAlphaBeta_, ScalarAccum_, (ThreadShape_::kW % 2 == 0)> ></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> ></div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html"> 76</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html">BatchedReductionTraits</a> {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html">BatchedReductionTraits</a><ScalarA_,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  ScalarC_,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  ScalarD_,</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  ScalarAlphaBeta_,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  ScalarAccum_,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  ReductionSize_,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  OutputTile_,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  SubTile_,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  ThreadShape_,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  Index_,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  BlockSwizzle_,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  maxInReg_,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  maxOutReg_,</div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#acfeed4cb4e5eec9d8e1ae2b787cc88e2"> 91</a></span>  Functor_> <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#acfeed4cb4e5eec9d8e1ae2b787cc88e2">This_</a>;</div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a085c72d54426f5eb60f5bffa9c383229"> 93</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1reduction_1_1BatchedReduction.html">cutlass::reduction::BatchedReduction<This_></a> <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a085c72d54426f5eb60f5bffa9c383229">KernelClass</a>;</div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a3b0e98519b7e551ef6adac69e7406d8f"> 95</a></span>  <span class="keyword">typedef</span> OutputTile_ <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a3b0e98519b7e551ef6adac69e7406d8f">OutputTile</a>;</div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ad9d4dcb20a69869ebda639747a16e647"> 97</a></span>  <span class="keyword">typedef</span> SubTile_ <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ad9d4dcb20a69869ebda639747a16e647">SubTile</a>;</div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a29e8adec50bc7e5c0a91f975dff4a7f3"> 99</a></span>  <span class="keyword">typedef</span> ThreadShape_ <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a29e8adec50bc7e5c0a91f975dff4a7f3">ThreadShape</a>;</div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a1c6cd0a76b2b2fc9cd021b016f30f459"> 101</a></span>  <span class="keyword">typedef</span> ScalarA_ <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a1c6cd0a76b2b2fc9cd021b016f30f459">ScalarA</a>;</div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#adb39cf54a839bdb2e38fbc8a0bf304a8"> 103</a></span>  <span class="keyword">typedef</span> ScalarC_ <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#adb39cf54a839bdb2e38fbc8a0bf304a8">ScalarC</a>;</div><div class="line"><a name="l00105"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#abb54e3addfee4097b37deb5cb30fb582"> 105</a></span>  <span class="keyword">typedef</span> ScalarD_ <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#abb54e3addfee4097b37deb5cb30fb582">ScalarD</a>;</div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ab89c35cfce0017a47341a1e3b2894e0f"> 107</a></span>  <span class="keyword">typedef</span> ScalarAlphaBeta_ <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ab89c35cfce0017a47341a1e3b2894e0f">ScalarAlphaBeta</a>;</div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ae7e468b1d372b4b807e2e1089af885ec"> 109</a></span>  <span class="keyword">typedef</span> ScalarAccum_ <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ae7e468b1d372b4b807e2e1089af885ec">ScalarAccum</a>;</div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ab0c9e548f3ee62746e727127e387a8f4"> 111</a></span>  <span class="keyword">typedef</span> Index_ <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ab0c9e548f3ee62746e727127e387a8f4">Index</a>;</div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ae0c016bcbe687063774d8abd554939b6"> 113</a></span>  <span class="keyword">typedef</span> BlockSwizzle_ <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ae0c016bcbe687063774d8abd554939b6">BlockSwizzle</a>;</div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a00c71c9a18aaad84f4a48023dbbb454e"> 115</a></span>  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a00c71c9a18aaad84f4a48023dbbb454e">ReductionSize</a> = ReductionSize_;</div><div class="line"><a name="l00117"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ab4f5f457dbfa6bd250a4c34e1d573a85"> 117</a></span>  <span class="keyword">static</span> <span class="keyword">const</span> <span class="keywordtype">bool</span> <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ab4f5f457dbfa6bd250a4c34e1d573a85">ThreadShapeMultiple2</a> = (ThreadShape::kW % 2 == 0);</div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#af62fd99fae22a4e4d93cfa0560f1dcc5"> 119</a></span>  <span class="keyword">typedef</span> Functor_ <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#af62fd99fae22a4e4d93cfa0560f1dcc5">Functor</a>;</div><div class="line"><a name="l00122"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ab35edeae5cd8767bd376fad5f6680e25"> 122</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ab35edeae5cd8767bd376fad5f6680e25">kThreads</a> = SubTile::kW / ThreadShape::kW;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="comment">//</span></div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#af11a3284195a24e580d2f379f179f05a"> 124</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#af11a3284195a24e580d2f379f179f05a">maxInReg</a> = maxInReg_;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">//</span></div><div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ac28e31791c5888bbe7b04abe6376a422"> 126</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ac28e31791c5888bbe7b04abe6376a422">maxOutReg</a> = maxOutReg_;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">//</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(SubTile::kW % ThreadShape::kW == 0, <span class="stringliteral">"cannot evenly distribute work load among threads"</span>);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="comment">//</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(kThreads % 32 == 0, <span class="stringliteral">"threads per threadblock is not multiple of 32"</span>);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="comment">//</span></div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(OutputTile::kW % SubTile::kW == 0, <span class="stringliteral">"cannot evenly distribute work load among iterations"</span>);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">//</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(ReductionSize * ThreadShape::kW <= maxInReg, <span class="stringliteral">"ReductionSize * ThreadShape::kW should not be bigger than maxInReg"</span>);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">//</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(ThreadShape::kW <= maxOutReg, <span class="stringliteral">"ThreadShape::kW should not be bigger than maxOutReg"</span>);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html"> 138</a></span>  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html">Params</a> {</div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#adbd0cf20c4f7033016d1b8fdaca6aeae"> 140</a></span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<3></a> <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#adbd0cf20c4f7033016d1b8fdaca6aeae">problem_size</a>;</div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#afada1cbad87636228fb58d8577bb8470"> 142</a></span>  ScalarAlphaBeta <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#afada1cbad87636228fb58d8577bb8470">alpha</a>;</div><div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a805f78cae27c3305c988f251207d85f7"> 144</a></span>  ScalarAlphaBeta <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a805f78cae27c3305c988f251207d85f7">beta</a>;</div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a5d1463d473d4226b0d19c581b16ed3b2"> 146</a></span>  <span class="keywordtype">long</span> <span class="keywordtype">long</span> <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a5d1463d473d4226b0d19c581b16ed3b2">reduction_stride</a>;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">//</span></div><div class="line"><a name="l00148"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#af1b12ba220602692e84616b420b00f1c"> 148</a></span>  ScalarA <span class="keyword">const</span> *<a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#af1b12ba220602692e84616b420b00f1c">d_a</a>;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="comment">//</span></div><div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#ab14fa69759f1d600a28df4fabaf59c28"> 150</a></span>  Index <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#ab14fa69759f1d600a28df4fabaf59c28">lda</a>;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">//</span></div><div class="line"><a name="l00152"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#ac79830eaf080ea0ffddd2100db6cf3e1"> 152</a></span>  ScalarC <span class="keyword">const</span> *<a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#ac79830eaf080ea0ffddd2100db6cf3e1">d_c</a>;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">//</span></div><div class="line"><a name="l00154"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a6bdb4dfce17da648b55c7aa68ef5b191"> 154</a></span>  Index <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a6bdb4dfce17da648b55c7aa68ef5b191">ldc</a>;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">//</span></div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#abf9744373a72f3819a616b5a5b3bff22"> 156</a></span>  ScalarD *<a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#abf9744373a72f3819a616b5a5b3bff22">d_d</a>;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="comment">//</span></div><div class="line"><a name="l00158"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#ad24096385e51009866b5aafd90b42ad2"> 158</a></span>  Index <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#ad24096385e51009866b5aafd90b42ad2">ldd</a>;</div><div class="line"><a name="l00160"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a11e54597165b66e3054c6b9f43210760"> 160</a></span>  <span class="keyword">typename</span> Functor::Params <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a11e54597165b66e3054c6b9f43210760">functorParams</a>;</div><div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#ac27f42beb3625c5183b76b26677c0cb0"> 162</a></span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#ac27f42beb3625c5183b76b26677c0cb0">initialize</a>(Index m_,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  Index n_,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  ScalarAlphaBeta alpha_,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  ScalarAlphaBeta beta_,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordtype">long</span> <span class="keywordtype">long</span> <span class="keywordtype">int</span> reduction_stride_,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  ScalarA <span class="keyword">const</span> *d_a_,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  Index lda_,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  ScalarC <span class="keyword">const</span> *d_c_,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  Index ldc_,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  ScalarD *d_d_,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  Index ldd_){</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  problem_size = <a class="code" href="namespacecutlass.html#a7419519fa453a121dfa5f26bf87318d9">make_Coord</a>(1, n_, m_);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  alpha = alpha_;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  beta = beta_;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  reduction_stride = reduction_stride_;</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  d_a = d_a_;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  lda = lda_;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  d_c = d_c_;</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  d_d = d_d_;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  ldc = ldc_;</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  ldd = ldd_;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  functorParams.initialize(alpha_, beta_);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  }</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  };</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> } <span class="comment">// namespace reduction</span></div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html_adbd0cf20c4f7033016d1b8fdaca6aeae"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#adbd0cf20c4f7033016d1b8fdaca6aeae">cutlass::reduction::BatchedReductionTraits::Params::problem_size</a></div><div class="ttdeci">Coord< 3 > problem_size</div><div class="ttdoc">The dimension of output tensor. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:140</div></div>
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<div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html">cutlass::reduction::BatchedReductionTraits::Params</a></div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:138</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_ae0c016bcbe687063774d8abd554939b6"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ae0c016bcbe687063774d8abd554939b6">cutlass::reduction::BatchedReductionTraits::BlockSwizzle</a></div><div class="ttdeci">BlockSwizzle_ BlockSwizzle</div><div class="ttdoc">The thread block swizzle. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:113</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_acfeed4cb4e5eec9d8e1ae2b787cc88e2"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#acfeed4cb4e5eec9d8e1ae2b787cc88e2">cutlass::reduction::BatchedReductionTraits::This_</a></div><div class="ttdeci">BatchedReductionTraits< ScalarA_, ScalarC_, ScalarD_, ScalarAlphaBeta_, ScalarAccum_, ReductionSize_, OutputTile_, SubTile_, ThreadShape_, Index_, BlockSwizzle_, maxInReg_, maxOutReg_, Functor_ > This_</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:91</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_ab35edeae5cd8767bd376fad5f6680e25"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ab35edeae5cd8767bd376fad5f6680e25">cutlass::reduction::BatchedReductionTraits::kThreads</a></div><div class="ttdeci">static int const kThreads</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:122</div></div>
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<div class="ttc" id="namespacecutlass_html_a7419519fa453a121dfa5f26bf87318d9"><div class="ttname"><a href="namespacecutlass.html#a7419519fa453a121dfa5f26bf87318d9">cutlass::make_Coord</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Coord< 1 > make_Coord(int _0)</div><div class="ttdoc">Helper to make a 2-element coordinate. </div><div class="ttdef"><b>Definition:</b> coord.h:387</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_ae7e468b1d372b4b807e2e1089af885ec"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ae7e468b1d372b4b807e2e1089af885ec">cutlass::reduction::BatchedReductionTraits::ScalarAccum</a></div><div class="ttdeci">ScalarAccum_ ScalarAccum</div><div class="ttdoc">The type for accumulation. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:109</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html_ab14fa69759f1d600a28df4fabaf59c28"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#ab14fa69759f1d600a28df4fabaf59c28">cutlass::reduction::BatchedReductionTraits::Params::lda</a></div><div class="ttdeci">Index lda</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:150</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html_a805f78cae27c3305c988f251207d85f7"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a805f78cae27c3305c988f251207d85f7">cutlass::reduction::BatchedReductionTraits::Params::beta</a></div><div class="ttdeci">ScalarAlphaBeta beta</div><div class="ttdoc">The beta. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:144</div></div>
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<div class="ttc" id="reduction_2threadblock__swizzle_8h_html"><div class="ttname"><a href="reduction_2threadblock__swizzle_8h.html">threadblock_swizzle.h</a></div><div class="ttdoc">Defies functors for mapping blockIdx to partitions of the batched reduction computation. </div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_a29e8adec50bc7e5c0a91f975dff4a7f3"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a29e8adec50bc7e5c0a91f975dff4a7f3">cutlass::reduction::BatchedReductionTraits::ThreadShape</a></div><div class="ttdeci">ThreadShape_ ThreadShape</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:99</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html_ad24096385e51009866b5aafd90b42ad2"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#ad24096385e51009866b5aafd90b42ad2">cutlass::reduction::BatchedReductionTraits::Params::ldd</a></div><div class="ttdeci">Index ldd</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:158</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_abb54e3addfee4097b37deb5cb30fb582"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#abb54e3addfee4097b37deb5cb30fb582">cutlass::reduction::BatchedReductionTraits::ScalarD</a></div><div class="ttdeci">ScalarD_ ScalarD</div><div class="ttdoc">The output pointer type. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:105</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html_a5d1463d473d4226b0d19c581b16ed3b2"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a5d1463d473d4226b0d19c581b16ed3b2">cutlass::reduction::BatchedReductionTraits::Params::reduction_stride</a></div><div class="ttdeci">long long int reduction_stride</div><div class="ttdoc">stride between two element that will be sumed </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:146</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_ad9d4dcb20a69869ebda639747a16e647"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ad9d4dcb20a69869ebda639747a16e647">cutlass::reduction::BatchedReductionTraits::SubTile</a></div><div class="ttdeci">SubTile_ SubTile</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:97</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html_ac79830eaf080ea0ffddd2100db6cf3e1"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#ac79830eaf080ea0ffddd2100db6cf3e1">cutlass::reduction::BatchedReductionTraits::Params::d_c</a></div><div class="ttdeci">ScalarC const * d_c</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:152</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_a3b0e98519b7e551ef6adac69e7406d8f"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a3b0e98519b7e551ef6adac69e7406d8f">cutlass::reduction::BatchedReductionTraits::OutputTile</a></div><div class="ttdeci">OutputTile_ OutputTile</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:95</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html_a6bdb4dfce17da648b55c7aa68ef5b191"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a6bdb4dfce17da648b55c7aa68ef5b191">cutlass::reduction::BatchedReductionTraits::Params::ldc</a></div><div class="ttdeci">Index ldc</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:154</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_ab89c35cfce0017a47341a1e3b2894e0f"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ab89c35cfce0017a47341a1e3b2894e0f">cutlass::reduction::BatchedReductionTraits::ScalarAlphaBeta</a></div><div class="ttdeci">ScalarAlphaBeta_ ScalarAlphaBeta</div><div class="ttdoc">The alpha beta type. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:107</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_adb39cf54a839bdb2e38fbc8a0bf304a8"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#adb39cf54a839bdb2e38fbc8a0bf304a8">cutlass::reduction::BatchedReductionTraits::ScalarC</a></div><div class="ttdeci">ScalarC_ ScalarC</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:103</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html_af1b12ba220602692e84616b420b00f1c"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#af1b12ba220602692e84616b420b00f1c">cutlass::reduction::BatchedReductionTraits::Params::d_a</a></div><div class="ttdeci">ScalarA const * d_a</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:148</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReduction_html"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReduction.html">cutlass::reduction::BatchedReduction</a></div><div class="ttdef"><b>Definition:</b> batched_reduction.h:52</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_a00c71c9a18aaad84f4a48023dbbb454e"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a00c71c9a18aaad84f4a48023dbbb454e">cutlass::reduction::BatchedReductionTraits::ReductionSize</a></div><div class="ttdeci">static const int ReductionSize</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:115</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_a1c6cd0a76b2b2fc9cd021b016f30f459"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a1c6cd0a76b2b2fc9cd021b016f30f459">cutlass::reduction::BatchedReductionTraits::ScalarA</a></div><div class="ttdeci">ScalarA_ ScalarA</div><div class="ttdoc">The input pointer type. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:101</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="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_1Coord_html"><div class="ttname"><a href="structcutlass_1_1Coord.html">cutlass::Coord< 3 ></a></div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html_afada1cbad87636228fb58d8577bb8470"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#afada1cbad87636228fb58d8577bb8470">cutlass::reduction::BatchedReductionTraits::Params::alpha</a></div><div class="ttdeci">ScalarAlphaBeta alpha</div><div class="ttdoc">The alpha. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:142</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_af62fd99fae22a4e4d93cfa0560f1dcc5"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#af62fd99fae22a4e4d93cfa0560f1dcc5">cutlass::reduction::BatchedReductionTraits::Functor</a></div><div class="ttdeci">Functor_ Functor</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:119</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_af11a3284195a24e580d2f379f179f05a"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#af11a3284195a24e580d2f379f179f05a">cutlass::reduction::BatchedReductionTraits::maxInReg</a></div><div class="ttdeci">static int const maxInReg</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:124</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html_abf9744373a72f3819a616b5a5b3bff22"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#abf9744373a72f3819a616b5a5b3bff22">cutlass::reduction::BatchedReductionTraits::Params::d_d</a></div><div class="ttdeci">ScalarD * d_d</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:156</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html_a11e54597165b66e3054c6b9f43210760"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#a11e54597165b66e3054c6b9f43210760">cutlass::reduction::BatchedReductionTraits::Params::functorParams</a></div><div class="ttdeci">Functor::Params functorParams</div><div class="ttdoc">The functor params. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:160</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_ab4f5f457dbfa6bd250a4c34e1d573a85"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ab4f5f457dbfa6bd250a4c34e1d573a85">cutlass::reduction::BatchedReductionTraits::ThreadShapeMultiple2</a></div><div class="ttdeci">static const bool ThreadShapeMultiple2</div><div class="ttdoc">check if threadShape is multiple of 2. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:117</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_ab0c9e548f3ee62746e727127e387a8f4"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ab0c9e548f3ee62746e727127e387a8f4">cutlass::reduction::BatchedReductionTraits::Index</a></div><div class="ttdeci">Index_ Index</div><div class="ttdoc">The index. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:111</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_ac28e31791c5888bbe7b04abe6376a422"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#ac28e31791c5888bbe7b04abe6376a422">cutlass::reduction::BatchedReductionTraits::maxOutReg</a></div><div class="ttdeci">static int const maxOutReg</div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:126</div></div>
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<div class="ttc" id="batched__reduction_8h_html"><div class="ttname"><a href="batched__reduction_8h.html">batched_reduction.h</a></div><div class="ttdoc">Implements a software-pipelined efficient batched reduction. D = alpha * Reduction(A) + beta * C...</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_1reduction_1_1BatchedReductionTraits_html"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html">cutlass::reduction::BatchedReductionTraits</a></div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:76</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params_html_ac27f42beb3625c5183b76b26677c0cb0"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits_1_1Params.html#ac27f42beb3625c5183b76b26677c0cb0">cutlass::reduction::BatchedReductionTraits::Params::initialize</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE int initialize(Index m_, Index n_, ScalarAlphaBeta alpha_, ScalarAlphaBeta beta_, long long int reduction_stride_, ScalarA const *d_a_, Index lda_, ScalarC const *d_c_, Index ldc_, ScalarD *d_d_, Index ldd_)</div><div class="ttdoc">Initialize the parameters for 2D output tensor. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:162</div></div>
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<div class="ttc" id="structcutlass_1_1reduction_1_1BatchedReductionTraits_html_a085c72d54426f5eb60f5bffa9c383229"><div class="ttname"><a href="structcutlass_1_1reduction_1_1BatchedReductionTraits.html#a085c72d54426f5eb60f5bffa9c383229">cutlass::reduction::BatchedReductionTraits::KernelClass</a></div><div class="ttdeci">cutlass::reduction::BatchedReduction< This_ > KernelClass</div><div class="ttdoc">The struct that consumes this Traits. </div><div class="ttdef"><b>Definition:</b> batched_reduction_traits.h:93</div></div>
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