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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> <span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="tensor__ref_8h.html">cutlass/tensor_ref.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="numeric__types_8h.html">cutlass/numeric_types.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="array_8h.html">cutlass/array.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="functional_8h.html">cutlass/functional.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="matrix__shape_8h.html">cutlass/matrix_shape.h</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="numeric__conversion_8h.html">cutlass/numeric_conversion.h</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="layout_2matrix_8h.html">cutlass/layout/matrix.h</a>"</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">namespace </span>reduction {</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reduction_1_1kernel.html"> 45</a></span> <span class="keyword">namespace </span>kernel {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">typename</span> Shape_, </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">typename</span> OutputOp_ , </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">typename</span> ReductionOp_, </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordtype">int</span> PartitionsPerStage = 4 </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> ></div><div class="line"><a name="l00055"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html"> 55</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html">ReduceSplitK</a> {</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00058"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a0842614addeb1548e2df4b9be94204a0"> 58</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a0842614addeb1548e2df4b9be94204a0">Shape</a> = Shape_;</div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a9fed5689109358e708a27d487db15232"> 59</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a9fed5689109358e708a27d487db15232">ReductionOp</a> = ReductionOp_;</div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a7a9602e96687bf67ce9c054399bb7bed"> 60</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a7a9602e96687bf67ce9c054399bb7bed">OutputOp</a> = OutputOp_;</div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a014e2940dbfce4b0d4f77bb3b03e0ab0"> 61</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a014e2940dbfce4b0d4f77bb3b03e0ab0">kElementsPerAccess</a> = OutputOp::kCount;</div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a23071cc4a87b6a2f0c3de29a2368e852"> 62</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a23071cc4a87b6a2f0c3de29a2368e852">kPartitionsPerStage</a> = PartitionsPerStage;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a4c85c1f75ac2513a29a7b3e20b4e1245"> 64</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a4c85c1f75ac2513a29a7b3e20b4e1245">ElementWorkspace</a> = <span class="keyword">typename</span> ReductionOp::Element;</div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a5d5f78a67b2a9878add5a6263f9a6b62"> 65</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a5d5f78a67b2a9878add5a6263f9a6b62">ElementAccumulator</a> = <span class="keyword">typename</span> ReductionOp::ElementAccumulator;</div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#acf8c3a80abb05fc70f969afba5d0d1e1"> 66</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#acf8c3a80abb05fc70f969afba5d0d1e1">ElementOutput</a> = <span class="keyword">typename</span> OutputOp::ElementOutput;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a006674043f4361cf8e5d63ae903bf9fa"> 68</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">WorkspaceTensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementWorkspace, layout::RowMajor></a>;</div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#ad3809cf511423cdd0deea5401bee3f35"> 69</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">OutputTensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<ElementOutput, layout::RowMajor></a>;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#ad16928ac661803077fe524afc0d21b0b"> 71</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1AlignedArray.html">FragmentWorkspace</a> = <a class="code" href="classcutlass_1_1AlignedArray.html">AlignedArray<ElementWorkspace, kElementsPerAccess></a>;</div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a2482d1e5fb741c0f9c31f09db15c00c2"> 72</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a2482d1e5fb741c0f9c31f09db15c00c2">FragmentAccumulator</a> = Array<ElementAccumulator, kElementsPerAccess>;</div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a8571b4b913e4fe4fb44ea79e7f139abb"> 73</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1AlignedArray.html">FragmentOutput</a> = <a class="code" href="classcutlass_1_1AlignedArray.html">AlignedArray<ElementOutput, kElementsPerAccess></a>;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="comment">//</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">// Types</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="comment">//</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html"> 80</a></span>  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html">Params</a> {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a4e71c9fe8dab59b795bd7a4a2d33cf0c"> 82</a></span>  <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a> <a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a4e71c9fe8dab59b795bd7a4a2d33cf0c">problem_size</a>;</div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a355a2740ee735de6616705c523b68fdd"> 83</a></span>  <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a355a2740ee735de6616705c523b68fdd">partitions</a>;</div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a10fb9f2ac4dc43b02aeb0714ab4ba889"> 84</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a10fb9f2ac4dc43b02aeb0714ab4ba889">partition_stride</a>;</div><div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a8a306dbb3f813297bcf9cebda1067e80"> 85</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">WorkspaceTensorRef</a> <a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a8a306dbb3f813297bcf9cebda1067e80">workspace</a>;</div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a08089218798599f5f47184f8c94723cb"> 86</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">OutputTensorRef</a> <a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a08089218798599f5f47184f8c94723cb">destination</a>;</div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#aaf43809bae5b18b2a37e2fa3a934ec15"> 87</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">OutputTensorRef</a> <a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#aaf43809bae5b18b2a37e2fa3a934ec15">source</a>;</div><div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#ac4dbbbd4c98f1be716d5d1d739953e17"> 88</a></span>  <span class="keyword">typename</span> OutputOp::Params <a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#ac4dbbbd4c98f1be716d5d1d739953e17">output</a>;</div><div class="line"><a name="l00089"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#ab59614242d435c963b9607eb7da6f5b5"> 89</a></span>  <span class="keyword">typename</span> ReductionOp::Params <a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#ab59614242d435c963b9607eb7da6f5b5">reduction</a>;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">//</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">//</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a7613c14f567f1179108896db24f61901"> 96</a></span>  <a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a7613c14f567f1179108896db24f61901">Params</a>() { }</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#ae0e145f20b18a1225107762be663ee42"> 99</a></span>  <a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#ae0e145f20b18a1225107762be663ee42">Params</a>(</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a> problem_size_,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">int</span> partitions_,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordtype">size_t</span> partition_stride_,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="classcutlass_1_1TensorRef.html">WorkspaceTensorRef</a> workspace_,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="classcutlass_1_1TensorRef.html">OutputTensorRef</a> destination_,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="classcutlass_1_1TensorRef.html">OutputTensorRef</a> source_,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">typename</span> OutputOp::Params output_ = <span class="keyword">typename</span> OutputOp::Params(),</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">typename</span> ReductionOp::Params reduction_ = <span class="keyword">typename</span> ReductionOp::Params()</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  ):</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  problem_size(problem_size_),</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  partitions(partitions_),</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  partition_stride(sizeof(<a class="code" href="classcutlass_1_1AlignedArray.html">FragmentWorkspace</a>) * partition_stride_ / kElementsPerAccess),</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  workspace(workspace_),</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  destination(destination_),</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  source(source_),</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  output(output_),</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  reduction(reduction_) {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  };</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1SharedStorage.html"> 121</a></span>  <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1SharedStorage.html">SharedStorage</a> { };</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a696cecdb049ddb78b3d40530abbba1fb"> 128</a></span>  <span class="keyword">static</span> dim3 <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a696cecdb049ddb78b3d40530abbba1fb">grid_shape</a>(</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="structcutlass_1_1MatrixCoord.html">cutlass::MatrixCoord</a> problem_size) {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">return</span> dim3(</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  (problem_size.<a class="code" href="structcutlass_1_1MatrixCoord.html#afbdcc5ca5b91f11f29046667b0bfde7b">column</a>() + Shape::kColumn - 1) / Shape::kColumn, </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  (problem_size.<a class="code" href="structcutlass_1_1MatrixCoord.html#a0580610f28427e376b24b71f67602d03">row</a>() + Shape::kRow -1) / Shape::kRow);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  }</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00138"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#af788ae48c72021b8ce49da15dfa72be3"> 138</a></span>  <span class="keyword">static</span> dim3 <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#af788ae48c72021b8ce49da15dfa72be3">block_shape</a>() {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> dim3(Shape::kColumn / kElementsPerAccess, Shape::kRow);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a8cd3ee6c0e54206393bf5931dc060fc9"> 144</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a8cd3ee6c0e54206393bf5931dc060fc9">operator()</a>(<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html">Params</a> <span class="keyword">const</span> &params, <a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1SharedStorage.html">SharedStorage</a> &storage) {</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">// Determine CTA position</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a> thread_offset(</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordtype">int</span>(blockIdx.y) * Shape::kRow + threadIdx.y,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordtype">int</span>(blockIdx.x) * Shape::kColumn + threadIdx.x * kElementsPerAccess</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  );</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">// One guard conditional</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">if</span> (!(thread_offset.<a class="code" href="structcutlass_1_1MatrixCoord.html#a0580610f28427e376b24b71f67602d03">row</a>() < params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a4e71c9fe8dab59b795bd7a4a2d33cf0c">problem_size</a>.<a class="code" href="structcutlass_1_1MatrixCoord.html#a0580610f28427e376b24b71f67602d03">row</a>() && </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  thread_offset.<a class="code" href="structcutlass_1_1MatrixCoord.html#afbdcc5ca5b91f11f29046667b0bfde7b">column</a>() < params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a4e71c9fe8dab59b795bd7a4a2d33cf0c">problem_size</a>.<a class="code" href="structcutlass_1_1MatrixCoord.html#afbdcc5ca5b91f11f29046667b0bfde7b">column</a>())) {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">return</span>;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  }</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> </div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a9fed5689109358e708a27d487db15232">ReductionOp</a> reduction_op(params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#ab59614242d435c963b9607eb7da6f5b5">reduction</a>);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a2482d1e5fb741c0f9c31f09db15c00c2">FragmentAccumulator</a> accumulator;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  accumulator.clear(); </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="comment">//</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">// Load the first slice</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="comment">//</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordtype">char</span> <span class="keyword">const</span> *workspace_ptr = </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">reinterpret_cast<</span><span class="keywordtype">char</span> <span class="keyword">const </span>*<span class="keyword">></span>(</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a8a306dbb3f813297bcf9cebda1067e80">workspace</a>.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>() + params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a8a306dbb3f813297bcf9cebda1067e80">workspace</a>.<a class="code" href="classcutlass_1_1TensorRef.html#a4166ac2a0754574ac21d5d57d74f34e5">offset</a>(thread_offset));</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="classcutlass_1_1AlignedArray.html">FragmentWorkspace</a> workspace_frag[<a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a23071cc4a87b6a2f0c3de29a2368e852">kPartitionsPerStage</a>];</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">//</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="comment">// Construct the output operator</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="comment">//</span></div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a7a9602e96687bf67ce9c054399bb7bed">OutputOp</a> output_op(params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#ac4dbbbd4c98f1be716d5d1d739953e17">output</a>);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="comment">//</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="comment">// Load and accumulate with a simple batched loading sequence.</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="comment">//</span></div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="cutlass_8h.html#adb3bc73d74b4a4bf13099d5696db3352">CUTLASS_PRAGMA_NO_UNROLL</a></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> k = 0; k < params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a355a2740ee735de6616705c523b68fdd">partitions</a>; k += <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a23071cc4a87b6a2f0c3de29a2368e852">kPartitionsPerStage</a>) {</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>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a23071cc4a87b6a2f0c3de29a2368e852">kPartitionsPerStage</a>; ++i) {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">if</span> (k + i < params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a355a2740ee735de6616705c523b68fdd">partitions</a>) {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  workspace_frag[i] = *<span class="keyword">reinterpret_cast<</span><a class="code" href="classcutlass_1_1AlignedArray.html">FragmentWorkspace</a> <span class="keyword">const </span>*<span class="keyword">></span>(workspace_ptr);</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  workspace_ptr += params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a10fb9f2ac4dc43b02aeb0714ab4ba889">partition_stride</a>;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  } </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < <a class="code" href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a23071cc4a87b6a2f0c3de29a2368e852">kPartitionsPerStage</a>; ++i) {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">if</span> (k + i < params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a355a2740ee735de6616705c523b68fdd">partitions</a>) {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  accumulator = reduction_op(accumulator, workspace_frag[i]);</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  }</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  }</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="comment">//</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="comment">// Conditionally load the source</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">//</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <a class="code" href="classcutlass_1_1AlignedArray.html">FragmentOutput</a> source_frag;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  source_frag.clear();</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="classcutlass_1_1AlignedArray.html">FragmentOutput</a> <span class="keyword">const</span> *source_ptr = <span class="keyword">reinterpret_cast<</span><a class="code" href="classcutlass_1_1AlignedArray.html">FragmentOutput</a> <span class="keyword">const </span>*<span class="keyword">></span>(</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#aaf43809bae5b18b2a37e2fa3a934ec15">source</a>.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>() + params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#aaf43809bae5b18b2a37e2fa3a934ec15">source</a>.<a class="code" href="classcutlass_1_1TensorRef.html#a4166ac2a0754574ac21d5d57d74f34e5">offset</a>(thread_offset));</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">if</span> (output_op.is_source_needed()) {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">reinterpret_cast<</span><a class="code" href="classcutlass_1_1AlignedArray.html">FragmentOutput</a> &<span class="keyword">></span>(source_frag) = *source_ptr;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  }</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="comment">//</span></div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="comment">// Compute the output</span></div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="comment">//</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">typename</span> OutputOp::FragmentOutput output_frag = output_op(accumulator, source_frag);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="comment">//</span></div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="comment">// Store</span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="comment">//</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <a class="code" href="classcutlass_1_1AlignedArray.html">FragmentOutput</a> *dest_ptr = <span class="keyword">reinterpret_cast<</span><a class="code" href="classcutlass_1_1AlignedArray.html">FragmentOutput</a> *<span class="keyword">></span>(</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a08089218798599f5f47184f8c94723cb">destination</a>.<a class="code" href="classcutlass_1_1TensorRef.html#ac7db3ca62ab1dfe0d3ea08bcadbc9352">data</a>() + params.<a class="code" href="structcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_1_1Params.html#a08089218798599f5f47184f8c94723cb">destination</a>.<a class="code" href="classcutlass_1_1TensorRef.html#a4166ac2a0754574ac21d5d57d74f34e5">offset</a>(thread_offset));</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  *dest_ptr = <span class="keyword">reinterpret_cast<</span><a class="code" href="classcutlass_1_1AlignedArray.html">FragmentOutput</a> <span class="keyword">const </span>&<span class="keyword">></span>(output_frag);</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  }</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> };</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> } <span class="comment">// namespace kernel</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> } <span class="comment">// namespace reduction</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK_html_a4c85c1f75ac2513a29a7b3e20b4e1245"><div class="ttname"><a href="classcutlass_1_1reduction_1_1kernel_1_1ReduceSplitK.html#a4c85c1f75ac2513a29a7b3e20b4e1245">cutlass::reduction::kernel::ReduceSplitK::ElementWorkspace</a></div><div class="ttdeci">typename ReductionOp::Element ElementWorkspace</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:64</div></div>
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<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>
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<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 & 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>
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<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>
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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_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>
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<div class="ttc" id="tensor__ref_8h_html"><div class="ttname"><a href="tensor__ref_8h.html">tensor_ref.h</a></div><div class="ttdoc">Defines a structure containing strides, bounds, and a pointer to tensor data. </div></div>
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<div class="ttc" id="structcutlass_1_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>
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<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>
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<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>
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<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>
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<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>
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<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 & 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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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 &params, SharedStorage &storage)</div><div class="ttdoc">Perform a reduction. </div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:144</div></div>
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<div class="ttc" id="array_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div><div class="ttdoc">Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...</div></div>
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<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
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<div class="ttc" id="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>
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<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>
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<div class="ttc" id="matrix__shape_8h_html"><div class="ttname"><a href="matrix__shape_8h.html">matrix_shape.h</a></div><div class="ttdoc">Defines a Shape template for matrix tiles. </div></div>
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<div class="ttc" id="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>
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<div class="ttc" id="classcutlass_1_1TensorRef_html"><div class="ttname"><a href="classcutlass_1_1TensorRef.html">cutlass::TensorRef< ElementWorkspace, layout::RowMajor ></a></div></div>
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<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>
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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="numeric__types_8h_html"><div class="ttname"><a href="numeric__types_8h.html">numeric_types.h</a></div><div class="ttdoc">Top-level include for all CUTLASS numeric types. </div></div>
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<div class="ttc" id="classcutlass_1_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 &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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<div class="ttc" id="layout_2matrix_8h_html"><div class="ttname"><a href="layout_2matrix_8h.html">matrix.h</a></div><div class="ttdoc">Defines layout functions used by TensorRef and derived classes. </div></div>
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<div class="ttc" id="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>
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<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>
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<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< ElementAccumulator, kElementsPerAccess > FragmentAccumulator</div><div class="ttdef"><b>Definition:</b> reduce_split_k.h:72</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_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>
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<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>
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<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>
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<div class="ttc" id="functional_8h_html"><div class="ttname"><a href="functional_8h.html">functional.h</a></div><div class="ttdoc">Define basic numeric operators with specializations for Array<T, N>. SIMD-ize where possible...</div></div>
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