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CUTLASS 2.0 (#62) CUTLASS 2.0 Substantially refactored for - Better performance, particularly for native Turing Tensor Cores - Robust and durable templates spanning the design space - Encapsulated functionality embodying modern C++11 programming techniques - Optimized containers and data types for efficient, generic, portable device code Updates to: - Quick start guide - Documentation - Utilities - CUTLASS Profiler Native Turing Tensor Cores - Efficient GEMM kernels targeting Turing Tensor Cores - Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands Coverage of existing CUTLASS functionality: - GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs - Volta Tensor Cores through native mma.sync and through WMMA API - Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions - Batched GEMM operations - Complex-valued GEMMs Note: this commit and all that follow require a host compiler supporting C++11 or greater.
2019-11-20 08:55:34 +08:00
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<a href="reduce__split__k_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>&#160;<span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<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>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<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>&#160;<span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<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>&#160;<span class="comment"> * conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<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>&#160;<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>&#160;<span class="comment"> * provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<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>&#160;<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>&#160;<span class="comment"> * permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS &quot;AS IS&quot; AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<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>&#160;<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="l00
<div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html_a5d5f78a67b2a9878add5a6263f9a6b62"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a5d5f78a67b2a9878add5a6263f9a6b62">cutlass::reduction::kernel::ReduceSplitK::ElementAccumulator</a></div><div class="ttdeci">typename ReductionOp::ElementAccumulator ElementAccumulator</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:65</div></div>
<div class="ttc" id="structcutlass_1_1MatrixCoord_html_afbdcc5ca5b91f11f29046667b0bfde7b"><div class="ttname"><a href="structcutlass_1_1MatrixCoord.html#afbdcc5ca5b91f11f29046667b0bfde7b">cutlass::MatrixCoord::column</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index const &amp; column() const </div><div class="ttdoc">Returns the column of the coordinate. </div><div class="ttdef"><b>Definition:</b> matrix_coord.h:85</div></div>
<div class="ttc" id="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params_html_aaf43809bae5b18b2a37e2fa3a934ec15"><div class="ttname"><a href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#aaf43809bae5b18b2a37e2fa3a934ec15">cutlass::reduction::kernel::ReduceSplitK::Params::source</a></div><div class="ttdeci">OutputTensorRef source</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:87</div></div>
<div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
<div class="ttc" id="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params_html_a08089218798599f5f47184f8c94723cb"><div class="ttname"><a href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a08089218798599f5f47184f8c94723cb">cutlass::reduction::kernel::ReduceSplitK::Params::destination</a></div><div class="ttdeci">OutputTensorRef destination</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:86</div></div>
<div class="ttc" id="tensor__ref_8h_html"><div class="ttname"><a href="tensor__ref_8h.html">tensor_ref.h</a></div><div class="ttdoc">Defines a structure containing strides, bounds, and a pointer to tensor data. </div></div>
<div class="ttc" id="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params_html_a10fb9f2ac4dc43b02aeb0714ab4ba889"><div class="ttname"><a href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a10fb9f2ac4dc43b02aeb0714ab4ba889">cutlass::reduction::kernel::ReduceSplitK::Params::partition_stride</a></div><div class="ttdeci">size_t partition_stride</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:84</div></div>
<div class="ttc" id="classcutlass_1_1TensorRef_html_ac7db3ca62ab1dfe0d3ea08bcadbc9352"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">cutlass::TensorRef::data</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Element * data() const </div><div class="ttdoc">Returns the pointer to referenced data. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:254</div></div>
<div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html_af788ae48c72021b8ce49da15dfa72be3"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#af788ae48c72021b8ce49da15dfa72be3">cutlass::reduction::kernel::ReduceSplitK::block_shape</a></div><div class="ttdeci">static CUTLASS_HOST_DEVICE dim3 block_shape()</div><div class="ttdoc">Determines the threadblock shape. </div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:138</div></div>
<div class="ttc" id="classcutlass_1_1AlignedArray_html"><div class="ttname"><a href="classcutlass_1_1AlignedArray.html">cutlass::AlignedArray</a></div><div class="ttdoc">Aligned array type. </div><div class="ttdef"><b>Definition:</b> array.h:511</div></div>
<div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html_acf8c3a80abb05fc70f969afba5d0d1e1"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#acf8c3a80abb05fc70f969afba5d0d1e1">cutlass::reduction::kernel::ReduceSplitK::ElementOutput</a></div><div class="ttdeci">typename OutputOp::ElementOutput ElementOutput</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:66</div></div>
<div class="ttc" id="structcutlass_1_1MatrixCoord_html_a0580610f28427e376b24b71f67602d03"><div class="ttname"><a href="structcutlass_1_1MatrixCoord.html#a0580610f28427e376b24b71f67602d03">cutlass::MatrixCoord::row</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index const &amp; row() const </div><div class="ttdoc">Returns the row of the coordinate. </div><div class="ttdef"><b>Definition:</b> matrix_coord.h:77</div></div>
<div class="ttc" id="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params_html_a355a2740ee735de6616705c523b68fdd"><div class="ttname"><a href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a355a2740ee735de6616705c523b68fdd">cutlass::reduction::kernel::ReduceSplitK::Params::partitions</a></div><div class="ttdeci">int partitions</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:83</div></div>
<div class="ttc" id="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params_html_ae0e145f20b18a1225107762be663ee42"><div class="ttname"><a href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#ae0e145f20b18a1225107762be663ee42">cutlass::reduction::kernel::ReduceSplitK::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params(MatrixCoord problem_size_, int partitions_, size_t partition_stride_, WorkspaceTensorRef workspace_, OutputTensorRef destination_, OutputTensorRef source_, typename OutputOp::Params output_=typename OutputOp::Params(), typename ReductionOp::Params reduction_=typename ReductionOp::Params())</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:99</div></div>
<div class="ttc" id="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params_html_a7613c14f567f1179108896db24f61901"><div class="ttname"><a href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a7613c14f567f1179108896db24f61901">cutlass::reduction::kernel::ReduceSplitK::Params::Params</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Params()</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:96</div></div>
<div class="ttc" id="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params_html"><div class="ttname"><a href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html">cutlass::reduction::kernel::ReduceSplitK::Params</a></div><div class="ttdoc">Params structure. </div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:80</div></div>
<div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html_a9fed5689109358e708a27d487db15232"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a9fed5689109358e708a27d487db15232">cutlass::reduction::kernel::ReduceSplitK::ReductionOp</a></div><div class="ttdeci">ReductionOp_ ReductionOp</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:59</div></div>
<div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html_a8cd3ee6c0e54206393bf5931dc060fc9"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a8cd3ee6c0e54206393bf5931dc060fc9">cutlass::reduction::kernel::ReduceSplitK::operator()</a></div><div class="ttdeci">CUTLASS_DEVICE void operator()(Params const &amp;params, SharedStorage &amp;storage)</div><div class="ttdoc">Perform a reduction. </div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:144</div></div>
<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>
<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>
<div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html_a0842614addeb1548e2df4b9be94204a0"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a0842614addeb1548e2df4b9be94204a0">cutlass::reduction::kernel::ReduceSplitK::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:58</div></div>
<div class="ttc" id="numeric__conversion_8h_html"><div class="ttname"><a href="numeric__conversion_8h.html">numeric_conversion.h</a></div><div class="ttdoc">Boost-like numeric conversion operator for CUTLASS numeric types. </div></div>
<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>
<div class="ttc" id="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params_html_a8a306dbb3f813297bcf9cebda1067e80"><div class="ttname"><a href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a8a306dbb3f813297bcf9cebda1067e80">cutlass::reduction::kernel::ReduceSplitK::Params::workspace</a></div><div class="ttdeci">WorkspaceTensorRef workspace</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:85</div></div>
<div class="ttc" id="classcutlass_1_1TensorRef_html"><div class="ttname"><a href="classcutlass_1_1TensorRef.html">cutlass::TensorRef&lt; ElementWorkspace, layout::RowMajor &gt;</a></div></div>
<div class="ttc" id="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params_html_ab59614242d435c963b9607eb7da6f5b5"><div class="ttname"><a href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#ab59614242d435c963b9607eb7da6f5b5">cutlass::reduction::kernel::ReduceSplitK::Params::reduction</a></div><div class="ttdeci">ReductionOp::Params reduction</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:89</div></div>
<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>
<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>
<div class="ttc" id="classcutlass_1_1TensorRef_html_a4166ac2a0754574ac21d5d57d74f34e5"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a4166ac2a0754574ac21d5d57d74f34e5">cutlass::TensorRef::offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE LongIndex offset(TensorCoord const &amp;coord) const </div><div class="ttdoc">Computes the offset of an index from the origin of the tensor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:301</div></div>
<div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html">cutlass::reduction::kernel::ReduceSplitK</a></div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:55</div></div>
<div class="ttc" id="cutlass_8h_html_adb3bc73d74b4a4bf13099d5696db3352"><div class="ttname"><a href="cutlass_8h.html#adb3bc73d74b4a4bf13099d5696db3352">CUTLASS_PRAGMA_NO_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_NO_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:111</div></div>
<div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html_a23071cc4a87b6a2f0c3de29a2368e852"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a23071cc4a87b6a2f0c3de29a2368e852">cutlass::reduction::kernel::ReduceSplitK::kPartitionsPerStage</a></div><div class="ttdeci">static int const kPartitionsPerStage</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:62</div></div>
<div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html_a696cecdb049ddb78b3d40530abbba1fb"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a696cecdb049ddb78b3d40530abbba1fb">cutlass::reduction::kernel::ReduceSplitK::grid_shape</a></div><div class="ttdeci">static CUTLASS_HOST_DEVICE dim3 grid_shape(cutlass::MatrixCoord problem_size)</div><div class="ttdoc">Computes the grid size given a chosen threadblock shape. </div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:128</div></div>
<div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html_a014e2940dbfce4b0d4f77bb3b03e0ab0"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a014e2940dbfce4b0d4f77bb3b03e0ab0">cutlass::reduction::kernel::ReduceSplitK::kElementsPerAccess</a></div><div class="ttdeci">static int const kElementsPerAccess</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:61</div></div>
<div class="ttc" id="layout_2matrix_8h_html"><div class="ttname"><a href="layout_2matrix_8h.html">matrix.h</a></div><div class="ttdoc">Defines layout functions used by TensorRef and derived classes. </div></div>
<div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html_a7a9602e96687bf67ce9c054399bb7bed"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a7a9602e96687bf67ce9c054399bb7bed">cutlass::reduction::kernel::ReduceSplitK::OutputOp</a></div><div class="ttdeci">OutputOp_ OutputOp</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:60</div></div>
<div class="ttc" id="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params_html_a4e71c9fe8dab59b795bd7a4a2d33cf0c"><div class="ttname"><a href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a4e71c9fe8dab59b795bd7a4a2d33cf0c">cutlass::reduction::kernel::ReduceSplitK::Params::problem_size</a></div><div class="ttdeci">MatrixCoord problem_size</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:82</div></div>
<div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html_a2482d1e5fb741c0f9c31f09db15c00c2"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a2482d1e5fb741c0f9c31f09db15c00c2">cutlass::reduction::kernel::ReduceSplitK::FragmentAccumulator</a></div><div class="ttdeci">Array&lt; ElementAccumulator, kElementsPerAccess &gt; FragmentAccumulator</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:72</div></div>
<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>
<div class="ttc" id="structcutlass_1_1MatrixCoord_html"><div class="ttname"><a href="structcutlass_1_1MatrixCoord.html">cutlass::MatrixCoord</a></div><div class="ttdef"><b>Definition:</b> matrix_coord.h:39</div></div>
<div class="ttc" id="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1SharedStorage_html"><div class="ttname"><a href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1SharedStorage.html">cutlass::reduction::kernel::ReduceSplitK::SharedStorage</a></div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:121</div></div>
<div class="ttc" id="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params_html_ac4dbbbd4c98f1be716d5d1d739953e17"><div class="ttname"><a href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#ac4dbbbd4c98f1be716d5d1d739953e17">cutlass::reduction::kernel::ReduceSplitK::Params::output</a></div><div class="ttdeci">OutputOp::Params output</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:88</div></div>
<div class="ttc" id="functional_8h_html"><div class="ttname"><a href="functional_8h.html">functional.h</a></div><div class="ttdoc">Define basic numeric operators with specializations for Array&lt;T, N&gt;. SIMD-ize where possible...</div></div>
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