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<li class="navelem"><a class="el" href="dir_1417ee5ebebc309c36b7962f26a92c39.html">cutlass</a></li><li class="navelem"><a class="el" href="dir_f34d74b5ae2b711d395109410c5aafb1.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) 2017-2018, 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><
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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> convert.h:33</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="linear__scaling_8h_html"><div class="ttname"><a href="linear__scaling_8h.html">linear_scaling.h</a></div><div class="ttdoc">Implements the BLAS linear scaling function alpha*AB + beta*C. </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:368</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:46</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_1gemm_1_1LinearScaling_html"><div class="ttname"><a href="structcutlass_1_1gemm_1_1LinearScaling.html">cutlass::gemm::LinearScaling</a></div><div class="ttdoc">Functor to compute linear combination of fragments. </div><div class="ttdef"><b>Definition:</b> linear_scaling.h:51</div></div>
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<div class="ttc" id="shape_8h_html"><div class="ttname"><a href="shape_8h.html">shape.h</a></div><div class="ttdoc">Defines Shape implementing the Layout concept for representing a 4D hypercube of objects. </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 macros. </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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