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<a href="tile__iterator__tensor__op_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="array_8h.html">cutlass/array.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</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="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="pitch__linear_8h.html">cutlass/layout/pitch_linear.h</a>"</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="tensor__op__policy_8h.html">cutlass/epilogue/warp/tensor_op_policy.h</a>"</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</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="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span>epilogue {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">namespace </span>warp {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keyword">typename</span> WarpShape, </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">typename</span> OperatorShape, </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">typename</span> Layout </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> ></div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp.html"> 52</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp.html">TileIteratorTensorOp</a>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">typename</span> WarpShape_, </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">typename</span> OperatorShape_, </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">typename</span> Element_ </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> ></div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html"> 62</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp.html">TileIteratorTensorOp</a><WarpShape_, OperatorShape_, Element_, layout::RowMajor> {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="keyword">public</span>:</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a587ef97d446f1857f1691189fac8374f"> 65</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a587ef97d446f1857f1691189fac8374f">WarpShape</a> = WarpShape_;</div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a90059f91fd1200e119441c83787b0fa2"> 66</a></span>  <span class="keyword">using</span> OperatorShape = OperatorShape_;</div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a98c66293f80489be1140fc19e15eaecb"> 67</a></span>  <span class="keyword">using</span> Element = Element_;</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#aeaef96491169d1e8f2e831a3d858382f"> 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"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a7151807a9143cfed1359ff6b186df6f6"> 70</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="l00071"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a50ac8a7aa13d124f37d89b11f4d10e95"> 71</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="l00072"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a551137bff490b3b6acfd2f0685a81da5"> 72</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a551137bff490b3b6acfd2f0685a81da5">Index</a> = <span class="keyword">typename</span> <a class="code" href="classcutlass_1_1TensorRef.html#a11ec4b07a2132e647ca2ebe5112ce5ec">TensorRef::Index</a>;</div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a38473d6ddc3a0eab3fde84840611e2d4"> 73</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a38473d6ddc3a0eab3fde84840611e2d4">LongIndex</a> = <span class="keyword">typename</span> <a class="code" href="classcutlass_1_1TensorRef.html#adeada5e33b231f125a4aaeaf963bd3a3">TensorRef::LongIndex</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"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#aa43845436513f3eec39906a41a275953"> 75</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1epilogue_1_1warp_1_1TensorOpPolicy.html">Policy</a> = <a class="code" href="structcutlass_1_1epilogue_1_1warp_1_1TensorOpPolicy.html">TensorOpPolicy<WarpShape, OperatorShape, Layout></a>;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1MatrixShape.html">Shape</a> = <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape</a><</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  Policy::kRowsPerIteration,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  WarpShape::kN</div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a92e42402b1ee46fda6f6ded6825b7aed"> 81</a></span>  >;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a9156203bccdaf3b36b87286153c63147">Fragment</a> = Array<</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  Element, </div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a9156203bccdaf3b36b87286153c63147"> 86</a></span>  Policy::OperatorCount::kColumn * Policy::kElementsPerAccess>;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">//using AccumulatorTile = typename Operator::FragmentC;</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a5f4cbb21e1c17bc6e6f7938415b53ee8"> 92</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kIterations = Policy::kIterations;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// Internal constants</span></div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___05f11e023c9e6ee5f7a888fa4c5bbf6d1.html"> 95</a></span>  <span class="keyword">struct </span>Detail {</div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="structcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___05f11e023c9e6ee5f7a888fa4c5bbf6d1.html#a7848a076b84109151f08303706503063"> 96</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> kLanesInQuad = 4;</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> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1MatrixShape.html">Padding</a> = <a class="code" href="structcutlass_1_1MatrixShape.html">MatrixShape</a><</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  0,</div><div class="line"><a name="l00102"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a96dd094804882c2103e1a457632cf182"> 102</a></span>  Detail::kLanesInQuad * Policy::kElementsPerAccess>;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</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<Element, Policy::kElementsPerAccess></a>;</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>  <span class="comment">//</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">//</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="classcutlass_1_1AlignedArray.html">AccessType</a> *pointer_;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="classcutlass_1_1layout_1_1RowMajor.html">Layout</a> layout_;</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> <span class="keyword">public</span>:</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00123"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a40db089c95d2e6aed4a652862bc09f32"> 123</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a40db089c95d2e6aed4a652862bc09f32">TileIteratorTensorOp</a>(): pointer_(<a class="code" href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a>) { }</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#ac3bd8284bb551d89dbb9c639654a06ee"> 127</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#ac3bd8284bb551d89dbb9c639654a06ee">TileIteratorTensorOp</a>(</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> <span class="keyword">const</span> &ref,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">unsigned</span> lane_id</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>  pointer_(reinterpret_cast<<a class="code" href="classcutlass_1_1AlignedArray.html">AccessType</a> *>(ref.data())),</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  layout_(ref.stride()[0] / <a class="code" href="structcutlass_1_1epilogue_1_1warp_1_1TensorOpPolicy.html">Policy</a>::kElementsPerAccess) { </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordtype">int</span> quad_id = (lane_id / Detail::kLanesInQuad); </div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordtype">int</span> lane_in_quad = (lane_id % Detail::kLanesInQuad);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  pointer_ += layout_({quad_id, lane_in_quad});</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#aeda0dac956a396df42a2d6dedf5da3f5"> 142</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp.html">TileIteratorTensorOp</a> & <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#aeda0dac956a396df42a2d6dedf5da3f5">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a551137bff490b3b6acfd2f0685a81da5">Index</a> pointer_offset) {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  pointer_ += pointer_offset / Policy::kElementsPerAccess;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</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> </div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#aa54bfe6b9c53d0e79cfbae74c0e52fe4"> 149</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp.html">TileIteratorTensorOp</a> & <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#aa54bfe6b9c53d0e79cfbae74c0e52fe4">add_tile_offset</a>(<a class="code" href="structcutlass_1_1MatrixCoord.html">TensorCoord</a> <span class="keyword">const</span> &tile_offset) {</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>  pointer_ += layout_({</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  tile_offset.<a class="code" href="structcutlass_1_1MatrixCoord.html#a0580610f28427e376b24b71f67602d03">row</a>() * Shape::kRow, </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  (tile_offset.<a class="code" href="structcutlass_1_1MatrixCoord.html#afbdcc5ca5b91f11f29046667b0bfde7b">column</a>() * Shape::kColumn / Policy::kElementsPerAccess)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  });</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> *<span class="keyword">this</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="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a46b0395432768c15516edf5d4ce5af73"> 161</a></span>  <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp.html">TileIteratorTensorOp</a> & <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a46b0395432768c15516edf5d4ce5af73">operator+=</a>(<a class="code" href="structcutlass_1_1MatrixCoord.html">TensorCoord</a> <span class="keyword">const</span> &tile_offset) {</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  add_tile_offset(tile_offset);</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  }</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00168"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#ac47720c42f8242c6350c0c645a598c08"> 168</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#ac47720c42f8242c6350c0c645a598c08">store_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a9156203bccdaf3b36b87286153c63147">Fragment</a> <span class="keyword">const</span> &frag, <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a551137bff490b3b6acfd2f0685a81da5">Index</a> pointer_offset) {</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>  <a class="code" href="classcutlass_1_1AlignedArray.html">AccessType</a> <span class="keyword">const</span> *frag_ptr = <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>(&frag);</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="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < Policy::OperatorCount::kColumn; ++n) {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  pointer_[n * Detail::kLanesInQuad + pointer_offset / Policy::kElementsPerAccess] = frag_ptr[n];</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>  }</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#acf1c8f751d72ce97b2e6f94633c8fdd6"> 180</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#acf1c8f751d72ce97b2e6f94633c8fdd6">store</a>(<a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a9156203bccdaf3b36b87286153c63147">Fragment</a> <span class="keyword">const</span> &frag) {</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  store_with_pointer_offset(frag, 0);</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="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00186"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a3b35869528032ca52eb9e37d61265209"> 186</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a3b35869528032ca52eb9e37d61265209">load_with_pointer_offset</a>(<a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a9156203bccdaf3b36b87286153c63147">Fragment</a> &frag, <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a551137bff490b3b6acfd2f0685a81da5">Index</a> pointer_offset)<span class="keyword"> const </span>{</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <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="l00189"></a><span class="lineno"> 189</span> </div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < Policy::OperatorCount::kColumn; ++n) {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  frag_ptr[n] = pointer_[n * Detail::kLanesInQuad + pointer_offset / Policy::kElementsPerAccess];</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="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00198"></a><span class="lineno"><a class="line" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a4e473670fd9c4fc7004db274ba89c9c5"> 198</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a4e473670fd9c4fc7004db274ba89c9c5">load</a>(<a class="code" href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a9156203bccdaf3b36b87286153c63147">Fragment</a> &frag)<span class="keyword"> const </span>{</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  load_with_pointer_offset(frag, 0);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  }</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="l00204"></a><span class="lineno"> 204</span> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> } <span class="comment">// namespace warp</span></div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> } <span class="comment">// namespace epilogue</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span> } <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="ttc" id="structcutlass_1_1MatrixShape_html"><div class="ttname"><a href="structcutlass_1_1MatrixShape.html">cutlass::MatrixShape</a></div><div class="ttdoc">Describes the size of a matrix tile. </div><div class="ttdef"><b>Definition:</b> matrix_shape.h:42</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="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="tensor__op__policy_8h_html"><div class="ttname"><a href="tensor__op__policy_8h.html">tensor_op_policy.h</a></div><div class="ttdoc">Defines basic structures needed for implementing the warp-scoped phase of the epilogue. These quantities assume a &#39;column-major&#39; arrangement of TensorOp instructions, of which a row-oriented slice is visible per iteration. </div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_a3b35869528032ca52eb9e37d61265209"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a3b35869528032ca52eb9e37d61265209">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::load_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void load_with_pointer_offset(Fragment &frag, Index pointer_offset) const </div><div class="ttdoc">Load. </div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:186</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_ac3bd8284bb551d89dbb9c639654a06ee"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#ac3bd8284bb551d89dbb9c639654a06ee">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::TileIteratorTensorOp</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TileIteratorTensorOp(TensorRef const &ref, unsigned lane_id)</div><div class="ttdoc">Constructor from TensorRef. </div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:127</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_a587ef97d446f1857f1691189fac8374f"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a587ef97d446f1857f1691189fac8374f">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::WarpShape</a></div><div class="ttdeci">WarpShape_ WarpShape</div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:65</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_aeda0dac956a396df42a2d6dedf5da3f5"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#aeda0dac956a396df42a2d6dedf5da3f5">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TileIteratorTensorOp & add_pointer_offset(Index pointer_offset)</div><div class="ttdoc">Adds a pointer offset. </div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:142</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_aa54bfe6b9c53d0e79cfbae74c0e52fe4"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#aa54bfe6b9c53d0e79cfbae74c0e52fe4">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::add_tile_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TileIteratorTensorOp & add_tile_offset(TensorCoord const &tile_offset)</div><div class="ttdoc">advances in units of whole tiles along the logical coordinate space of the tensor ...</div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:149</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="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_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_ac47720c42f8242c6350c0c645a598c08"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#ac47720c42f8242c6350c0c645a598c08">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::store_with_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void store_with_pointer_offset(Fragment const &frag, Index pointer_offset)</div><div class="ttdoc">Store. </div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:168</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_a46b0395432768c15516edf5d4ce5af73"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a46b0395432768c15516edf5d4ce5af73">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::operator+=</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TileIteratorTensorOp & operator+=(TensorCoord const &tile_offset)</div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:161</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_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_acf1c8f751d72ce97b2e6f94633c8fdd6"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#acf1c8f751d72ce97b2e6f94633c8fdd6">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::store</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void store(Fragment const &frag)</div><div class="ttdoc">Store. </div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:180</div></div>
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<div class="ttc" id="platform_8h_html_ab979d9d4b4923f7c54d6caa6e1a61936"><div class="ttname"><a href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a></div><div class="ttdeci">#define nullptr</div><div class="ttdoc">nullptr </div><div class="ttdef"><b>Definition:</b> platform.h:144</div></div>
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<div class="ttc" id="structcutlass_1_1epilogue_1_1warp_1_1TensorOpPolicy_html"><div class="ttname"><a href="structcutlass_1_1epilogue_1_1warp_1_1TensorOpPolicy.html">cutlass::epilogue::warp::TensorOpPolicy</a></div><div class="ttdoc">Policy details related to the epilogue. </div><div class="ttdef"><b>Definition:</b> tensor_op_policy.h:50</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="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="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_html"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp.html">cutlass::epilogue::warp::TileIteratorTensorOp</a></div><div class="ttdoc">Template for reading and writing tiles of accumulators to shared memory. </div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:52</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_a38473d6ddc3a0eab3fde84840611e2d4"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a38473d6ddc3a0eab3fde84840611e2d4">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::LongIndex</a></div><div class="ttdeci">typename TensorRef::LongIndex LongIndex</div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:73</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_a551137bff490b3b6acfd2f0685a81da5"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a551137bff490b3b6acfd2f0685a81da5">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::Index</a></div><div class="ttdeci">typename TensorRef::Index Index</div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:72</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a11ec4b07a2132e647ca2ebe5112ce5ec"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a11ec4b07a2132e647ca2ebe5112ce5ec">cutlass::TensorRef::Index</a></div><div class="ttdeci">typename Layout::Index Index</div><div class="ttdoc">Index type. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:165</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_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_a40db089c95d2e6aed4a652862bc09f32"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a40db089c95d2e6aed4a652862bc09f32">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::TileIteratorTensorOp</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TileIteratorTensorOp()</div><div class="ttdoc">Default constructor. </div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:123</div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_a9156203bccdaf3b36b87286153c63147"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a9156203bccdaf3b36b87286153c63147">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::Fragment</a></div><div class="ttdeci">Array< Element, Policy::OperatorCount::kColumn *Policy::kElementsPerAccess > Fragment</div><div class="ttdoc">This is the fragment size produced by one access of the iterator. </div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:86</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="pitch__linear_8h_html"><div class="ttname"><a href="pitch__linear_8h.html">pitch_linear.h</a></div><div class="ttdoc">Defines layout functions used by TensorRef and derived classes for pitch-linear memory. </div></div>
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<div class="ttc" id="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289_html_a4e473670fd9c4fc7004db274ba89c9c5"><div class="ttname"><a href="classcutlass_1_1epilogue_1_1warp_1_1TileIteratorTensorOp_3_01WarpShape___00_01OperatorShape___003cbb32beb84b4984cb7853662096d289.html#a4e473670fd9c4fc7004db274ba89c9c5">cutlass::epilogue::warp::TileIteratorTensorOp< WarpShape_, OperatorShape_, Element_, layout::RowMajor >::load</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void load(Fragment &frag) const </div><div class="ttdoc">Load. </div><div class="ttdef"><b>Definition:</b> tile_iterator_tensor_op.h:198</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_1TensorRef_html_adeada5e33b231f125a4aaeaf963bd3a3"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#adeada5e33b231f125a4aaeaf963bd3a3">cutlass::TensorRef::LongIndex</a></div><div class="ttdeci">typename Layout::LongIndex LongIndex</div><div class="ttdoc">Long index used for pointer offsets. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:168</div></div>
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