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<a href="shared__load__iterator_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="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor">#include "<a class="code" href="numeric__types_8h.html">cutlass/numeric_types.h</a>"</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="array_8h.html">cutlass/array.h</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</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="l00039"></a><span class="lineno"> 39</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="l00040"></a><span class="lineno"> 40</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="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="output__tile__thread__map_8h.html">cutlass/epilogue/threadblock/output_tile_thread_map.h</a>"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">namespace </span>epilogue {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">namespace </span>threadblock {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">typename</span> ThreadMap_, </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">typename</span> Element_, </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">int</span> MaxAlignment = ThreadMap_::kElementsPerAccess * <a class="code" href="structcutlass_1_1sizeof__bits.html#aff47de86de21dae23ad36184c3d2bb12">sizeof_bits<Element_>::value</a> / 8</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> ></div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html"> 61</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html">SharedLoadIterator</a> {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a55f1d151cdd69269ac86c3567d1eff28"> 63</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a55f1d151cdd69269ac86c3567d1eff28">ThreadMap</a> = ThreadMap_;</div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a996bdfe3c2ef7f1d3684ce9a71f3b31d"> 64</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a996bdfe3c2ef7f1d3684ce9a71f3b31d">Shape</a> = <span class="keyword">typename</span> ThreadMap::Shape;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a961521dfce056013892c64a0ecd4ef2f"> 66</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a961521dfce056013892c64a0ecd4ef2f">Element</a> = Element_;</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_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#abc1ac65c12315e325e02c5c2e313e0a7"> 68</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">Layout</a> = <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">layout::RowMajor</a>;</div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae7ddd9a25483dcd3efb1d314bea81137"> 69</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> = <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<Element, Layout></a>;</div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a5208835793dcd89f36ea65a8fcadf7e7"> 70</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a5208835793dcd89f36ea65a8fcadf7e7">ConstTensorRef</a> = <span class="keyword">typename</span> <a class="code" href="classcutlass_1_1TensorRef.html#ad3c5c9466713f62a5191e720827f34da">TensorRef::ConstTensorRef</a>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a82ecb0e54bbcb04364a1924167cbeb15"> 72</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a82ecb0e54bbcb04364a1924167cbeb15">Index</a> = <span class="keyword">typename</span> <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html#aa49e242b14b4f482bc6bdd082acfb576">Layout::Index</a>;</div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae5daed317dfa5a63b781f4900454bcd3"> 73</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae5daed317dfa5a63b781f4900454bcd3">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html#a4062a36ab044fdea058504ed52ee60b8">Layout::LongIndex</a>;</div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#aa30154b84e1eb2d473d389b3e1c56f29"> 74</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1MatrixCoord.html">TensorCoord</a> = <a class="code" href="structcutlass_1_1MatrixCoord.html">MatrixCoord</a>;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae7cc22c50e7e00742c7430080d673dc8"> 76</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae7cc22c50e7e00742c7430080d673dc8">kElementsPerAccess</a> = ThreadMap::kElementsPerAccess;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#abd70e40965a6296adeeeb7ddcca7da90"> 78</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#abd70e40965a6296adeeeb7ddcca7da90">kMinAlignment</a> = ThreadMap_::kElementsPerAccess * <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits<Element_>::value</a> / 8;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae46b49371732c012f0b44399f39d8b0a"> 80</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae46b49371732c012f0b44399f39d8b0a">kAlignment</a> = (MaxAlignment < kMinAlignment ? MaxAlignment : <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#abd70e40965a6296adeeeb7ddcca7da90">kMinAlignment</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="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a5adc9c1897c49421e3b31fc3f8d34cbc"> 82</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a5adc9c1897c49421e3b31fc3f8d34cbc">kThreads</a> = ThreadMap::kThreads;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#afb37ed9a0f3873600b9e743b2dcb805e">Fragment</a> = Array<</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a961521dfce056013892c64a0ecd4ef2f">Element</a>, </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  ThreadMap::Iterations::kColumn * </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  ThreadMap::Iterations::kRow * </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  ThreadMap::Iterations::kGroup * </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  ThreadMap::Iterations::kCluster * </div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#afb37ed9a0f3873600b9e743b2dcb805e"> 91</a></span>  ThreadMap::kElementsPerAccess>;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1AlignedArray.html">AccessType</a> = <a class="code" href="classcutlass_1_1AlignedArray.html">AlignedArray</a><</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a961521dfce056013892c64a0ecd4ef2f">Element</a>, </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  ThreadMap::kElementsPerAccess, </div><div class="line"><a name="l00097"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a813f447702209b6efdb1d4dea64efc2c"> 97</a></span>  kAlignment>;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">//</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="comment">//</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  uint8_t *byte_pointer_;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordtype">int</span> stride_;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">//</span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">//</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae031b4f21a36638f51091ad12d529d5a"> 119</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae031b4f21a36638f51091ad12d529d5a">SharedLoadIterator</a>(</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> ref,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">int</span> thread_idx</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>  byte_pointer_(reinterpret_cast<uint8_t *>(ref.data())),</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  stride_((ref.stride(0) * <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a><Element>::value) / 8) {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="structcutlass_1_1MatrixCoord.html">TensorCoord</a> thread_offset = ThreadMap::initial_offset(thread_idx);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Initialize pointer</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  byte_pointer_ +=</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  thread_offset.<a class="code" href="structcutlass_1_1MatrixCoord.html#a0580610f28427e376b24b71f67602d03">row</a>() * stride_ + </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  thread_offset.<a class="code" href="structcutlass_1_1MatrixCoord.html#afbdcc5ca5b91f11f29046667b0bfde7b">column</a>() * <span class="keyword">sizeof</span>(<a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a813f447702209b6efdb1d4dea64efc2c">AccessType</a>) / kElementsPerAccess;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordtype">int</span> byte_offset = thread_offset.<a class="code" href="structcutlass_1_1MatrixCoord.html#a0580610f28427e376b24b71f67602d03">row</a>() * stride_ + </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  thread_offset.<a class="code" href="structcutlass_1_1MatrixCoord.html#afbdcc5ca5b91f11f29046667b0bfde7b">column</a>() * <span class="keyword">sizeof</span>(<a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a813f447702209b6efdb1d4dea64efc2c">AccessType</a>) / kElementsPerAccess;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  }</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a1e022ec8d968520bfd0bc7ce51dcaf93"> 139</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a1e022ec8d968520bfd0bc7ce51dcaf93">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae5daed317dfa5a63b781f4900454bcd3">LongIndex</a> pointer_offset) {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  byte_pointer_ += pointer_offset * <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits<Element>::value</a> / 8;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  }</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</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_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a4706618cd7b040c01d23440574696417"> 144</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a4706618cd7b040c01d23440574696417">add_tile_offset</a>(<a class="code" href="structcutlass_1_1MatrixCoord.html">TensorCoord</a> <span class="keyword">const</span> &offset) {</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a1e022ec8d968520bfd0bc7ce51dcaf93">add_pointer_offset</a>(offset.<a class="code" href="structcutlass_1_1MatrixCoord.html#a0580610f28427e376b24b71f67602d03">row</a>() * stride_ / (<a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits<Element>::value</a> / 8) + offset.<a class="code" href="structcutlass_1_1MatrixCoord.html#afbdcc5ca5b91f11f29046667b0bfde7b">column</a>() * Shape::kColumn);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00150"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a54ab974e2fbeb22d335d55618b3c7b3f"> 150</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a54ab974e2fbeb22d335d55618b3c7b3f">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#afb37ed9a0f3873600b9e743b2dcb805e">Fragment</a> &frag, <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a82ecb0e54bbcb04364a1924167cbeb15">Index</a> pointer_offset) {</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>  <a class="code" href="classcutlass_1_1AlignedArray.html">AccessType</a> *frag_ptr = <span class="keyword">reinterpret_cast<</span><a class="code" href="classcutlass_1_1AlignedArray.html">AccessType</a> *<span class="keyword">></span>(&frag);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> cluster = 0; cluster < ThreadMap::Iterations::kCluster; ++cluster) {</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> group = 0; group < ThreadMap::Iterations::kGroup; ++group) {</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="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> row = 0; row < ThreadMap::Iterations::kRow; ++row) {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  uint8_t <span class="keyword">const</span> *byte_pointer = byte_pointer_ + </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  row * ThreadMap::Delta::kRow * stride_ + </div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  group * ThreadMap::Delta::kGroup* stride_ + </div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  cluster * ThreadMap::Delta::kCluster * stride_ +</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  pointer_offset * <a class="code" href="structcutlass_1_1sizeof__bits.html">sizeof_bits<Element>::value</a> / 8;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordtype">int</span> frag_row_idx = </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  (row + ThreadMap::Iterations::kRow * (group + ThreadMap::Iterations::kGroup * cluster));</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="classcutlass_1_1AlignedArray.html">AccessType</a> <span class="keyword">const</span> *memory_pointer = <span class="keyword">reinterpret_cast<</span><a class="code" href="classcutlass_1_1AlignedArray.html">AccessType</a> <span class="keyword">const </span>*<span class="keyword">></span>(byte_pointer);</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="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> column = 0; column < ThreadMap::Iterations::kColumn; ++column) {</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordtype">int</span> frag_idx = frag_row_idx * ThreadMap::Iterations::kColumn + column;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  frag_ptr[frag_idx] = </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  memory_pointer[column * ThreadMap::Delta::kColumn / <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae7cc22c50e7e00742c7430080d673dc8">kElementsPerAccess</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>  }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  }</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  }</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> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00189"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#acc9440f6242ee064cb6e48f9387d73ad"> 189</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#acc9440f6242ee064cb6e48f9387d73ad">load</a>(<a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#afb37ed9a0f3873600b9e743b2dcb805e">Fragment</a> &frag) {</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a54ab974e2fbeb22d335d55618b3c7b3f">load_with_pointer_offset</a>(frag, 0);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  }</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span> };</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</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> } <span class="comment">// namespace threadblock</span></div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> } <span class="comment">// namespace epilogue</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> } <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="ttc" id="classcutlass_1_1layout_1_1RowMajor_html_a4062a36ab044fdea058504ed52ee60b8"><div class="ttname"><a href="classcutlass_1_1layout_1_1RowMajor.html#a4062a36ab044fdea058504ed52ee60b8">cutlass::layout::RowMajor::LongIndex</a></div><div class="ttdeci">int64_t LongIndex</div><div class="ttdoc">Long index type used for offsets. </div><div class="ttdef"><b>Definition:</b> layout/matrix.h:62</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="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_afb37ed9a0f3873600b9e743b2dcb805e"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#afb37ed9a0f3873600b9e743b2dcb805e">cutlass::epilogue::threadblock::SharedLoadIterator::Fragment</a></div><div class="ttdeci">Array< Element, ThreadMap::Iterations::kColumn *ThreadMap::Iterations::kRow *ThreadMap::Iterations::kGroup *ThreadMap::Iterations::kCluster *ThreadMap::kElementsPerAccess > Fragment</div><div class="ttdoc">Fragment object. </div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:91</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_1sizeof__bits_html_aff47de86de21dae23ad36184c3d2bb12"><div class="ttname"><a href="structcutlass_1_1sizeof__bits.html#aff47de86de21dae23ad36184c3d2bb12">cutlass::sizeof_bits::value</a></div><div class="ttdeci">static int const value</div><div class="ttdef"><b>Definition:</b> numeric_types.h:43</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="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_a54ab974e2fbeb22d335d55618b3c7b3f"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a54ab974e2fbeb22d335d55618b3c7b3f">cutlass::epilogue::threadblock::SharedLoadIterator::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void load_with_pointer_offset(Fragment &frag, Index pointer_offset)</div><div class="ttdoc">Loads a fragment from memory. </div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:150</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_a5adc9c1897c49421e3b31fc3f8d34cbc"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a5adc9c1897c49421e3b31fc3f8d34cbc">cutlass::epilogue::threadblock::SharedLoadIterator::kThreads</a></div><div class="ttdeci">static int const kThreads</div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:82</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_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_ae031b4f21a36638f51091ad12d529d5a"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae031b4f21a36638f51091ad12d529d5a">cutlass::epilogue::threadblock::SharedLoadIterator::SharedLoadIterator</a></div><div class="ttdeci">CUTLASS_DEVICE SharedLoadIterator(TensorRef ref, int thread_idx)</div><div class="ttdoc">Constructor. </div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:119</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="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_abd70e40965a6296adeeeb7ddcca7da90"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#abd70e40965a6296adeeeb7ddcca7da90">cutlass::epilogue::threadblock::SharedLoadIterator::kMinAlignment</a></div><div class="ttdeci">static int const kMinAlignment</div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:78</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_a5208835793dcd89f36ea65a8fcadf7e7"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a5208835793dcd89f36ea65a8fcadf7e7">cutlass::epilogue::threadblock::SharedLoadIterator::ConstTensorRef</a></div><div class="ttdeci">typename TensorRef::ConstTensorRef ConstTensorRef</div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:70</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_ad3c5c9466713f62a5191e720827f34da"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#ad3c5c9466713f62a5191e720827f34da">cutlass::TensorRef< Element, Layout >::ConstTensorRef</a></div><div class="ttdeci">TensorRef< typename platform::remove_const< Element >::type const, Layout > ConstTensorRef</div><div class="ttdoc">TensorRef to constant data. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:179</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_a55f1d151cdd69269ac86c3567d1eff28"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a55f1d151cdd69269ac86c3567d1eff28">cutlass::epilogue::threadblock::SharedLoadIterator::ThreadMap</a></div><div class="ttdeci">ThreadMap_ ThreadMap</div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:63</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_1layout_1_1RowMajor_html_aa49e242b14b4f482bc6bdd082acfb576"><div class="ttname"><a href="classcutlass_1_1layout_1_1RowMajor.html#aa49e242b14b4f482bc6bdd082acfb576">cutlass::layout::RowMajor::Index</a></div><div class="ttdeci">int32_t Index</div><div class="ttdoc">Index type used for coordinates. </div><div class="ttdef"><b>Definition:</b> layout/matrix.h:59</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_ae46b49371732c012f0b44399f39d8b0a"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae46b49371732c012f0b44399f39d8b0a">cutlass::epilogue::threadblock::SharedLoadIterator::kAlignment</a></div><div class="ttdeci">static int const kAlignment</div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:80</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_1sizeof__bits_html"><div class="ttname"><a href="structcutlass_1_1sizeof__bits.html">cutlass::sizeof_bits</a></div><div class="ttdoc">Defines the size of an element in bits. </div><div class="ttdef"><b>Definition:</b> numeric_types.h:42</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< Element, Layout ></a></div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_a813f447702209b6efdb1d4dea64efc2c"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a813f447702209b6efdb1d4dea64efc2c">cutlass::epilogue::threadblock::SharedLoadIterator::AccessType</a></div><div class="ttdeci">AlignedArray< Element, ThreadMap::kElementsPerAccess, kAlignment > AccessType</div><div class="ttdoc">Memory access size. </div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:97</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_a82ecb0e54bbcb04364a1924167cbeb15"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a82ecb0e54bbcb04364a1924167cbeb15">cutlass::epilogue::threadblock::SharedLoadIterator::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:72</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="output__tile__thread__map_8h_html"><div class="ttname"><a href="output__tile__thread__map_8h.html">output_tile_thread_map.h</a></div><div class="ttdoc">Metaprogram for determining the mapping of output elements to threads for epilogue tiles...</div></div>
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<div class="ttc" id="classcutlass_1_1layout_1_1RowMajor_html"><div class="ttname"><a href="classcutlass_1_1layout_1_1RowMajor.html">cutlass::layout::RowMajor</a></div><div class="ttdoc">Mapping function for row-major matrices. </div><div class="ttdef"><b>Definition:</b> layout/matrix.h:50</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_acc9440f6242ee064cb6e48f9387d73ad"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#acc9440f6242ee064cb6e48f9387d73ad">cutlass::epilogue::threadblock::SharedLoadIterator::load</a></div><div class="ttdeci">CUTLASS_DEVICE void load(Fragment &frag)</div><div class="ttdoc">Loads a fragment. </div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:189</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_a961521dfce056013892c64a0ecd4ef2f"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a961521dfce056013892c64a0ecd4ef2f">cutlass::epilogue::threadblock::SharedLoadIterator::Element</a></div><div class="ttdeci">Element_ Element</div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:66</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_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_a996bdfe3c2ef7f1d3684ce9a71f3b31d"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a996bdfe3c2ef7f1d3684ce9a71f3b31d">cutlass::epilogue::threadblock::SharedLoadIterator::Shape</a></div><div class="ttdeci">typename ThreadMap::Shape Shape</div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:64</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_a1e022ec8d968520bfd0bc7ce51dcaf93"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a1e022ec8d968520bfd0bc7ce51dcaf93">cutlass::epilogue::threadblock::SharedLoadIterator::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void add_pointer_offset(LongIndex pointer_offset)</div><div class="ttdoc">Adds a pointer offset in units of Element. </div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:139</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_ae7cc22c50e7e00742c7430080d673dc8"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae7cc22c50e7e00742c7430080d673dc8">cutlass::epilogue::threadblock::SharedLoadIterator::kElementsPerAccess</a></div><div class="ttdeci">static int const kElementsPerAccess</div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:76</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html">cutlass::epilogue::threadblock::SharedLoadIterator</a></div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:61</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_ae5daed317dfa5a63b781f4900454bcd3"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#ae5daed317dfa5a63b781f4900454bcd3">cutlass::epilogue::threadblock::SharedLoadIterator::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:73</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="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator_html_a4706618cd7b040c01d23440574696417"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1threadblock_1_1SharedLoadIterator.html#a4706618cd7b040c01d23440574696417">cutlass::epilogue::threadblock::SharedLoadIterator::add_tile_offset</a></div><div class="ttdeci">CUTLASS_DEVICE void add_tile_offset(TensorCoord const &offset)</div><div class="ttdef"><b>Definition:</b> shared_load_iterator.h:144</div></div>
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