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<a href="tile__allocation_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><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="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="shape_8h.html">cutlass/shape.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="fragment_8h.html">cutlass/fragment.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="tensor__ref_8h.html">cutlass/tensor_ref.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include "<a class="code" href="tensor__view_8h.html">cutlass/tensor_view.h</a>"</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include "<a class="code" href="zip__tensor__ref_8h.html">cutlass/zip_tensor_ref.h</a>"</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar_, <span class="keyword">typename</span> Shape_></div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html"> 42</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1TileAllocation.html">TileAllocation</a> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="comment">//</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="comment">// Type definitions</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="comment">//</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#a98f1243dc279999e3ff083ef45dee3f6"> 48</a></span>  <span class="keyword">typedef</span> Scalar_ <a class="code" href="structcutlass_1_1TileAllocation.html#a98f1243dc279999e3ff083ef45dee3f6">Scalar</a>;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#ace1f396620f3eb69c367bdf69aa27ebd"> 51</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1StorageType.html">StorageType<sizeof(Scalar)>::Type</a> <a class="code" href="structcutlass_1_1TileAllocation.html#ace1f396620f3eb69c367bdf69aa27ebd">Storage</a>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#a2254302a3ce0b4da5c3657ada0cb8ccc"> 54</a></span>  <span class="keyword">typedef</span> Shape_ <a class="code" href="structcutlass_1_1TileAllocation.html#a2254302a3ce0b4da5c3657ada0cb8ccc">Shape</a>;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00057"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#aba9164abe2fd7a091a858b23c0d3ac9c"> 57</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1ShapeStrides.html#a76cde4c3ebd1d191e0191826b2663be4">ShapeStrides<Shape, 1>::Shape</a> <a class="code" href="structcutlass_1_1TileAllocation.html#aba9164abe2fd7a091a858b23c0d3ac9c">Strides</a>;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#a122fa067390f45b29946286271654033"> 60</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1TileAllocation.html#aa0bf6caeab13dc004350c6c0cfe0df80">TensorRef<Scalar const, 4></a> <a class="code" href="structcutlass_1_1TileAllocation.html#a122fa067390f45b29946286271654033">ConstTensorRef</a>;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> </div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#aa0bf6caeab13dc004350c6c0cfe0df80"> 63</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1TileAllocation.html#aa0bf6caeab13dc004350c6c0cfe0df80">TensorRef<Scalar, 4></a> <a class="code" href="structcutlass_1_1TileAllocation.html#aa0bf6caeab13dc004350c6c0cfe0df80">TensorRef</a>;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#ac39b045286bd3669042f3b223629d73e"> 66</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1TileAllocation.html#a759e998135d5f25e689afdc676d95141">TensorView<Scalar const, 4></a> <a class="code" href="structcutlass_1_1TileAllocation.html#ac39b045286bd3669042f3b223629d73e">ConstTensorView</a>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#a759e998135d5f25e689afdc676d95141"> 69</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1TileAllocation.html#a759e998135d5f25e689afdc676d95141">TensorView<Scalar, 4></a> <a class="code" href="structcutlass_1_1TileAllocation.html#a759e998135d5f25e689afdc676d95141">TensorView</a>;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">//</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">//</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#a3c1ba61c511110b14558941367ad4604"> 76</a></span>  <a class="code" href="structcutlass_1_1TileAllocation.html#ace1f396620f3eb69c367bdf69aa27ebd">Storage</a> <a class="code" href="structcutlass_1_1TileAllocation.html#a3c1ba61c511110b14558941367ad4604">storage</a>[<a class="code" href="structcutlass_1_1Shape.html#a19086a5567d6c710ec853e35a7f29c25">Shape::kD</a>][<a class="code" href="structcutlass_1_1Shape.html#a3a20d9062bba613c160bb2cd14f80a5e">Shape::kH</a>][<a class="code" href="structcutlass_1_1Shape.html#a78836a20250ff24c25a6622ad818b421">Shape::kW</a>][<a class="code" href="structcutlass_1_1Shape.html#a3f2433fd6401dd28f1130499f9fd340c">Shape::kC</a>];</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="comment">//</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">//</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#a69c43b27939e9ecebd23edb18ed3a9dc"> 84</a></span>  <a class="code" href="structcutlass_1_1TileAllocation.html#a98f1243dc279999e3ff083ef45dee3f6">Scalar</a> *<a class="code" href="structcutlass_1_1TileAllocation.html#a69c43b27939e9ecebd23edb18ed3a9dc">data</a>() { <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1TileAllocation.html#a98f1243dc279999e3ff083ef45dee3f6">Scalar</a> *<span class="keyword">></span>(&<a class="code" href="structcutlass_1_1TileAllocation.html#a3c1ba61c511110b14558941367ad4604">storage</a>[0][0][0][0]); }</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#acc3f2c29fe21316091a1405613083000"> 88</a></span>  <a class="code" href="structcutlass_1_1TileAllocation.html#a98f1243dc279999e3ff083ef45dee3f6">Scalar</a> <span class="keyword">const</span> *<a class="code" href="structcutlass_1_1TileAllocation.html#acc3f2c29fe21316091a1405613083000">data</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <span class="keyword">reinterpret_cast<</span><a class="code" href="structcutlass_1_1TileAllocation.html#a98f1243dc279999e3ff083ef45dee3f6">Scalar</a> <span class="keyword">const </span>*<span class="keyword">></span>(&<a class="code" href="structcutlass_1_1TileAllocation.html#a3c1ba61c511110b14558941367ad4604">storage</a>[0][0][0][0]); }</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#a3466ef2b478e4617aa1ff261217cfd05"> 92</a></span>  <a class="code" href="structcutlass_1_1TileAllocation.html#aa0bf6caeab13dc004350c6c0cfe0df80">TensorRef</a> <a class="code" href="structcutlass_1_1TileAllocation.html#a3466ef2b478e4617aa1ff261217cfd05">reference</a>() {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">return</span> <a class="code" href="structcutlass_1_1TileAllocation.html#aa0bf6caeab13dc004350c6c0cfe0df80">TensorRef</a>(<a class="code" href="structcutlass_1_1TileAllocation.html#a69c43b27939e9ecebd23edb18ed3a9dc">data</a>(), <a class="code" href="namespacecutlass.html#a7419519fa453a121dfa5f26bf87318d9">make_Coord</a>(Strides::kD, Strides::kH, Strides::kW, Strides::kC));</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#afcdc0be82acf0b4ae66468e2170c5a0d"> 98</a></span>  <a class="code" href="structcutlass_1_1TileAllocation.html#a122fa067390f45b29946286271654033">ConstTensorRef</a> <a class="code" href="structcutlass_1_1TileAllocation.html#afcdc0be82acf0b4ae66468e2170c5a0d">reference</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">return</span> <a class="code" href="structcutlass_1_1TileAllocation.html#a122fa067390f45b29946286271654033">ConstTensorRef</a>(<a class="code" href="structcutlass_1_1TileAllocation.html#a69c43b27939e9ecebd23edb18ed3a9dc">data</a>(), <a class="code" href="namespacecutlass.html#a7419519fa453a121dfa5f26bf87318d9">make_Coord</a>(Strides::kD, Strides::kH, Strides::kW, Strides::kC));</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> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#a6b8bef90ee0ce6f58f7971a4925d88c7"> 104</a></span>  <a class="code" href="structcutlass_1_1TileAllocation.html#a759e998135d5f25e689afdc676d95141">TensorView</a> <a class="code" href="structcutlass_1_1TileAllocation.html#a6b8bef90ee0ce6f58f7971a4925d88c7">view</a>() {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">return</span> <a class="code" href="structcutlass_1_1TileAllocation.html#a759e998135d5f25e689afdc676d95141">TensorView</a>(</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="structcutlass_1_1TileAllocation.html#a69c43b27939e9ecebd23edb18ed3a9dc">data</a>(),</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <a class="code" href="namespacecutlass.html#a7419519fa453a121dfa5f26bf87318d9">make_Coord</a>(Strides::kD, Strides::kH, Strides::kW, Strides::kC),</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <a class="code" href="namespacecutlass.html#a7419519fa453a121dfa5f26bf87318d9">make_Coord</a>(<a class="code" href="structcutlass_1_1Shape.html#a19086a5567d6c710ec853e35a7f29c25">Shape::kD</a>, <a class="code" href="structcutlass_1_1Shape.html#a3a20d9062bba613c160bb2cd14f80a5e">Shape::kH</a>, <a class="code" href="structcutlass_1_1Shape.html#a78836a20250ff24c25a6622ad818b421">Shape::kW</a>, <a class="code" href="structcutlass_1_1Shape.html#a3f2433fd6401dd28f1130499f9fd340c">Shape::kC</a>));</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="structcutlass_1_1TileAllocation.html#a8d3befc0770f235d219bf77a0370fa4f"> 113</a></span>  <a class="code" href="structcutlass_1_1TileAllocation.html#ac39b045286bd3669042f3b223629d73e">ConstTensorView</a> <a class="code" href="structcutlass_1_1TileAllocation.html#a8d3befc0770f235d219bf77a0370fa4f">view</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">return</span> <a class="code" href="structcutlass_1_1TileAllocation.html#a759e998135d5f25e689afdc676d95141">TensorView</a>(</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="structcutlass_1_1TileAllocation.html#a69c43b27939e9ecebd23edb18ed3a9dc">data</a>(),</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="namespacecutlass.html#a7419519fa453a121dfa5f26bf87318d9">make_Coord</a>(Strides::kD, Strides::kH, Strides::kW, Strides::kC),</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="namespacecutlass.html#a7419519fa453a121dfa5f26bf87318d9">make_Coord</a>(<a class="code" href="structcutlass_1_1Shape.html#a19086a5567d6c710ec853e35a7f29c25">Shape::kD</a>, <a class="code" href="structcutlass_1_1Shape.html#a3a20d9062bba613c160bb2cd14f80a5e">Shape::kH</a>, <a class="code" href="structcutlass_1_1Shape.html#a78836a20250ff24c25a6622ad818b421">Shape::kW</a>, <a class="code" href="structcutlass_1_1Shape.html#a3f2433fd6401dd28f1130499f9fd340c">Shape::kC</a>));</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> };</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">template</span> <<span class="keyword">typename</span> First_, <span class="keyword">typename</span> Second_></div><div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="structcutlass_1_1ZipTileAllocation.html"> 125</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1ZipTileAllocation.html">ZipTileAllocation</a> {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">//</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">// Type definitions</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">//</span></div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="structcutlass_1_1ZipTileAllocation.html#acbdbed808b27997a0e8c22adfa9cc9b2"> 131</a></span>  <span class="keyword">typedef</span> First_ <a class="code" href="structcutlass_1_1ZipTileAllocation.html#acbdbed808b27997a0e8c22adfa9cc9b2">First</a>;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="structcutlass_1_1ZipTileAllocation.html#ac6b988a7e6cd8ec83fae642342209527"> 134</a></span>  <span class="keyword">typedef</span> Second_ <a class="code" href="structcutlass_1_1ZipTileAllocation.html#ac6b988a7e6cd8ec83fae642342209527">Second</a>;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="structcutlass_1_1ZipTileAllocation.html#a1c274bfb4401beabaf62fed9c2054ddf"> 137</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1ZipTensorRef.html">ZipTensorRef<typename First::TensorRef, typename Second::TensorRef></a> <a class="code" href="structcutlass_1_1ZipTileAllocation.html#a1c274bfb4401beabaf62fed9c2054ddf">TensorRef</a>;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1ZipTensorRef.html">ZipTensorRef<typename First::ConstTensorRef, typename Second::ConstTensorRef></a></div><div class="line"><a name="l00141"></a><span class="lineno"><a class="line" href="structcutlass_1_1ZipTileAllocation.html#aba6d5cfb32cfed340d8af2971ec50af4"> 141</a></span>  <a class="code" href="structcutlass_1_1ZipTileAllocation.html#aba6d5cfb32cfed340d8af2971ec50af4">ConstTensorRef</a>;</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>  <span class="comment">//</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">//</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"><a class="line" href="structcutlass_1_1ZipTileAllocation.html#a6c0f139eef549521763b36cb1e45a014"> 148</a></span>  <a class="code" href="structcutlass_1_1ZipTileAllocation.html#acbdbed808b27997a0e8c22adfa9cc9b2">First</a> <a class="code" href="structcutlass_1_1ZipTileAllocation.html#a6c0f139eef549521763b36cb1e45a014">first</a>;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="structcutlass_1_1ZipTileAllocation.html#a94abc7e74632b14718fd2d5b78cceafc"> 151</a></span>  <a class="code" href="structcutlass_1_1ZipTileAllocation.html#ac6b988a7e6cd8ec83fae642342209527">Second</a> <a class="code" href="structcutlass_1_1ZipTileAllocation.html#a94abc7e74632b14718fd2d5b78cceafc">second</a>;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">//</span></div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">//</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="structcutlass_1_1ZipTileAllocation.html#a0d00001220df7f2bdb1f09ae3f37c585"> 159</a></span>  <a class="code" href="structcutlass_1_1ZipTensorRef.html">TensorRef</a> <a class="code" href="structcutlass_1_1ZipTileAllocation.html#a0d00001220df7f2bdb1f09ae3f37c585">reference</a>() { <span class="keywordflow">return</span> <a class="code" href="structcutlass_1_1ZipTileAllocation.html#a1c274bfb4401beabaf62fed9c2054ddf">TensorRef</a>(<a class="code" href="structcutlass_1_1ZipTileAllocation.html#a6c0f139eef549521763b36cb1e45a014">first</a>.reference(), <a class="code" href="structcutlass_1_1ZipTileAllocation.html#a94abc7e74632b14718fd2d5b78cceafc">second</a>.reference()); }</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  CUTLASS_DEVICE</div><div class="line"><a name="l00163"></a><span class="lineno"><a class="line" href="structcutlass_1_1ZipTileAllocation.html#af9964904e789b3ab58334f1ec1ceee56"> 163</a></span>  <a class="code" href="structcutlass_1_1ZipTensorRef.html">ConstTensorRef</a> <a class="code" href="structcutlass_1_1ZipTileAllocation.html#af9964904e789b3ab58334f1ec1ceee56">reference</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="structcutlass_1_1ZipTileAllocation.html#aba6d5cfb32cfed340d8af2971ec50af4">ConstTensorRef</a>(<a class="code" href="structcutlass_1_1ZipTileAllocation.html#a6c0f139eef549521763b36cb1e45a014">first</a>.reference(), <a class="code" href="structcutlass_1_1ZipTileAllocation.html#a94abc7e74632b14718fd2d5b78cceafc">second</a>.reference()); }</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> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> convert.h:33</div></div>
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<div class="ttc" id="structcutlass_1_1ZipTileAllocation_html_a0d00001220df7f2bdb1f09ae3f37c585"><div class="ttname"><a href="structcutlass_1_1ZipTileAllocation.html#a0d00001220df7f2bdb1f09ae3f37c585">cutlass::ZipTileAllocation::reference</a></div><div class="ttdeci">CUTLASS_DEVICE TensorRef reference()</div><div class="ttdoc">Returns a TensorRef object pointing to the data. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:159</div></div>
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<div class="ttc" id="structcutlass_1_1ZipTileAllocation_html_aba6d5cfb32cfed340d8af2971ec50af4"><div class="ttname"><a href="structcutlass_1_1ZipTileAllocation.html#aba6d5cfb32cfed340d8af2971ec50af4">cutlass::ZipTileAllocation::ConstTensorRef</a></div><div class="ttdeci">ZipTensorRef< typename First::ConstTensorRef, typename Second::ConstTensorRef > ConstTensorRef</div><div class="ttdoc">Defines the tensor reference for this allocation. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:141</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_a6b8bef90ee0ce6f58f7971a4925d88c7"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#a6b8bef90ee0ce6f58f7971a4925d88c7">cutlass::TileAllocation::view</a></div><div class="ttdeci">CUTLASS_DEVICE TensorView view()</div><div class="ttdoc">Returns a TensorView object pointing to the data. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:104</div></div>
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<div class="ttc" id="structcutlass_1_1ShapeStrides_html_a76cde4c3ebd1d191e0191826b2663be4"><div class="ttname"><a href="structcutlass_1_1ShapeStrides.html#a76cde4c3ebd1d191e0191826b2663be4">cutlass::ShapeStrides::Shape</a></div><div class="ttdeci">Shape< Shape_::kH *Shape_::kW *Shape_::kC, Shape_::kW *Shape_::kC, Shape_::kC, elementsPerAccess > Shape</div><div class="ttdef"><b>Definition:</b> shape.h:170</div></div>
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<div class="ttc" id="tensor__ref_8h_html"><div class="ttname"><a href="tensor__ref_8h.html">tensor_ref.h</a></div><div class="ttdoc">Defines a structure containing strides, bounds, and a pointer to tensor data. </div></div>
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<div class="ttc" id="structcutlass_1_1ZipTensorRef_html"><div class="ttname"><a href="structcutlass_1_1ZipTensorRef.html">cutlass::ZipTensorRef</a></div><div class="ttdef"><b>Definition:</b> zip_tensor_ref.h:38</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_a759e998135d5f25e689afdc676d95141"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#a759e998135d5f25e689afdc676d95141">cutlass::TileAllocation::TensorView</a></div><div class="ttdeci">TensorView< Scalar, 4 > TensorView</div><div class="ttdoc">View of memory. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:69</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_aa0bf6caeab13dc004350c6c0cfe0df80"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#aa0bf6caeab13dc004350c6c0cfe0df80">cutlass::TileAllocation::TensorRef</a></div><div class="ttdeci">TensorRef< Scalar, 4 > TensorRef</div><div class="ttdoc">Defines the tensor reference for this allocation. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:63</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_acc3f2c29fe21316091a1405613083000"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#acc3f2c29fe21316091a1405613083000">cutlass::TileAllocation::data</a></div><div class="ttdeci">CUTLASS_DEVICE Scalar const * data() const</div><div class="ttdoc">Returns a const pointer to the raw data. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:88</div></div>
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<div class="ttc" id="namespacecutlass_html_a7419519fa453a121dfa5f26bf87318d9"><div class="ttname"><a href="namespacecutlass.html#a7419519fa453a121dfa5f26bf87318d9">cutlass::make_Coord</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Coord< 1 > make_Coord(int _0)</div><div class="ttdoc">Helper to make a 2-element coordinate. </div><div class="ttdef"><b>Definition:</b> coord.h:368</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_a3466ef2b478e4617aa1ff261217cfd05"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#a3466ef2b478e4617aa1ff261217cfd05">cutlass::TileAllocation::reference</a></div><div class="ttdeci">CUTLASS_DEVICE TensorRef reference()</div><div class="ttdoc">Returns a TensorRef object pointing to the data. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:92</div></div>
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<div class="ttc" id="structcutlass_1_1ZipTileAllocation_html_ac6b988a7e6cd8ec83fae642342209527"><div class="ttname"><a href="structcutlass_1_1ZipTileAllocation.html#ac6b988a7e6cd8ec83fae642342209527">cutlass::ZipTileAllocation::Second</a></div><div class="ttdeci">Second_ Second</div><div class="ttdoc">Second tensor allocation. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:134</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_a3c1ba61c511110b14558941367ad4604"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#a3c1ba61c511110b14558941367ad4604">cutlass::TileAllocation::storage</a></div><div class="ttdeci">Storage storage[Shape::kD][Shape::kH][Shape::kW][Shape::kC]</div><div class="ttdoc">Storage. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:76</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_a8d3befc0770f235d219bf77a0370fa4f"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#a8d3befc0770f235d219bf77a0370fa4f">cutlass::TileAllocation::view</a></div><div class="ttdeci">CUTLASS_DEVICE ConstTensorView view() const</div><div class="ttdoc">Returns a TensorView object pointing to the data. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:113</div></div>
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<div class="ttc" id="structcutlass_1_1ZipTileAllocation_html_a1c274bfb4401beabaf62fed9c2054ddf"><div class="ttname"><a href="structcutlass_1_1ZipTileAllocation.html#a1c274bfb4401beabaf62fed9c2054ddf">cutlass::ZipTileAllocation::TensorRef</a></div><div class="ttdeci">ZipTensorRef< typename First::TensorRef, typename Second::TensorRef > TensorRef</div><div class="ttdoc">Defines the tensor reference for this allocation. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:137</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_aba9164abe2fd7a091a858b23c0d3ac9c"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#aba9164abe2fd7a091a858b23c0d3ac9c">cutlass::TileAllocation::Strides</a></div><div class="ttdeci">ShapeStrides< Shape, 1 >::Shape Strides</div><div class="ttdoc">Strides. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:57</div></div>
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<div class="ttc" id="tensor__view_8h_html"><div class="ttname"><a href="tensor__view_8h.html">tensor_view.h</a></div><div class="ttdoc">Defines a structure containing strides and a pointer to tensor data. </div></div>
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<div class="ttc" id="structcutlass_1_1Shape_html_a3a20d9062bba613c160bb2cd14f80a5e"><div class="ttname"><a href="structcutlass_1_1Shape.html#a3a20d9062bba613c160bb2cd14f80a5e">cutlass::Shape::kH</a></div><div class="ttdeci">static int const kH</div><div class="ttdoc">The height of the cube. </div><div class="ttdef"><b>Definition:</b> shape.h:68</div></div>
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<div class="ttc" id="structcutlass_1_1ZipTileAllocation_html_a94abc7e74632b14718fd2d5b78cceafc"><div class="ttname"><a href="structcutlass_1_1ZipTileAllocation.html#a94abc7e74632b14718fd2d5b78cceafc">cutlass::ZipTileAllocation::second</a></div><div class="ttdeci">Second second</div><div class="ttdoc">Second tensor allocation. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:151</div></div>
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<div class="ttc" id="structcutlass_1_1StorageType_html"><div class="ttname"><a href="structcutlass_1_1StorageType.html">cutlass::StorageType</a></div><div class="ttdef"><b>Definition:</b> fragment.h:76</div></div>
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<div class="ttc" id="structcutlass_1_1Shape_html_a3f2433fd6401dd28f1130499f9fd340c"><div class="ttname"><a href="structcutlass_1_1Shape.html#a3f2433fd6401dd28f1130499f9fd340c">cutlass::Shape::kC</a></div><div class="ttdeci">static int const kC</div><div class="ttdoc">The number of scalars per element. </div><div class="ttdef"><b>Definition:</b> shape.h:72</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_a122fa067390f45b29946286271654033"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#a122fa067390f45b29946286271654033">cutlass::TileAllocation::ConstTensorRef</a></div><div class="ttdeci">TensorRef< Scalar const, 4 > ConstTensorRef</div><div class="ttdoc">Defines the tensor reference for this allocation. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:60</div></div>
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<div class="ttc" id="structcutlass_1_1ZipTileAllocation_html_a6c0f139eef549521763b36cb1e45a014"><div class="ttname"><a href="structcutlass_1_1ZipTileAllocation.html#a6c0f139eef549521763b36cb1e45a014">cutlass::ZipTileAllocation::first</a></div><div class="ttdeci">First first</div><div class="ttdoc">First tensor allocation. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:148</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_afcdc0be82acf0b4ae66468e2170c5a0d"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#afcdc0be82acf0b4ae66468e2170c5a0d">cutlass::TileAllocation::reference</a></div><div class="ttdeci">CUTLASS_DEVICE ConstTensorRef reference() const</div><div class="ttdoc">Returns a TensorRef object pointing to the data. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:98</div></div>
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<div class="ttc" id="zip__tensor__ref_8h_html"><div class="ttname"><a href="zip__tensor__ref_8h.html">zip_tensor_ref.h</a></div><div class="ttdoc">Defines a structure containing a pair of TensorRef-like objects. </div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_a98f1243dc279999e3ff083ef45dee3f6"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#a98f1243dc279999e3ff083ef45dee3f6">cutlass::TileAllocation::Scalar</a></div><div class="ttdeci">Scalar_ Scalar</div><div class="ttdoc">Scalar element. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:48</div></div>
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<div class="ttc" id="structcutlass_1_1ZipTileAllocation_html"><div class="ttname"><a href="structcutlass_1_1ZipTileAllocation.html">cutlass::ZipTileAllocation</a></div><div class="ttdoc">Manages a pair of tile allocations as if they are one allocation. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:125</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_a2254302a3ce0b4da5c3657ada0cb8ccc"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#a2254302a3ce0b4da5c3657ada0cb8ccc">cutlass::TileAllocation::Shape</a></div><div class="ttdeci">Shape_ Shape</div><div class="ttdoc">Size of the allocation in units of scalars. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:54</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html">cutlass::TileAllocation</a></div><div class="ttdoc">Class for storing a tile in memory and accessing it through a tensor ref. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:42</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_a69c43b27939e9ecebd23edb18ed3a9dc"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#a69c43b27939e9ecebd23edb18ed3a9dc">cutlass::TileAllocation::data</a></div><div class="ttdeci">CUTLASS_DEVICE Scalar * data()</div><div class="ttdoc">Returns a pointer to the raw data. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:84</div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_ac39b045286bd3669042f3b223629d73e"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#ac39b045286bd3669042f3b223629d73e">cutlass::TileAllocation::ConstTensorView</a></div><div class="ttdeci">TensorView< Scalar const, 4 > ConstTensorView</div><div class="ttdoc">View of memory. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:66</div></div>
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<div class="ttc" id="structcutlass_1_1ZipTileAllocation_html_af9964904e789b3ab58334f1ec1ceee56"><div class="ttname"><a href="structcutlass_1_1ZipTileAllocation.html#af9964904e789b3ab58334f1ec1ceee56">cutlass::ZipTileAllocation::reference</a></div><div class="ttdeci">CUTLASS_DEVICE ConstTensorRef reference() const</div><div class="ttdoc">Returns a TensorRef object pointing to the data. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:163</div></div>
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<div class="ttc" id="structcutlass_1_1Shape_html_a78836a20250ff24c25a6622ad818b421"><div class="ttname"><a href="structcutlass_1_1Shape.html#a78836a20250ff24c25a6622ad818b421">cutlass::Shape::kW</a></div><div class="ttdeci">static int const kW</div><div class="ttdoc">The width of the cube. </div><div class="ttdef"><b>Definition:</b> shape.h:70</div></div>
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<div class="ttc" id="structcutlass_1_1Shape_html_a19086a5567d6c710ec853e35a7f29c25"><div class="ttname"><a href="structcutlass_1_1Shape.html#a19086a5567d6c710ec853e35a7f29c25">cutlass::Shape::kD</a></div><div class="ttdeci">static int const kD</div><div class="ttdoc">The depth of the cube. </div><div class="ttdef"><b>Definition:</b> shape.h:66</div></div>
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<div class="ttc" id="shape_8h_html"><div class="ttname"><a href="shape_8h.html">shape.h</a></div><div class="ttdoc">Defines Shape implementing the Layout concept for representing a 4D hypercube of objects. </div></div>
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<div class="ttc" id="structcutlass_1_1TileAllocation_html_ace1f396620f3eb69c367bdf69aa27ebd"><div class="ttname"><a href="structcutlass_1_1TileAllocation.html#ace1f396620f3eb69c367bdf69aa27ebd">cutlass::TileAllocation::Storage</a></div><div class="ttdeci">StorageType< sizeof(Scalar)>::Type Storage</div><div class="ttdoc">The actual storage (may differ from the scalar type) </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:51</div></div>
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<div class="ttc" id="fragment_8h_html"><div class="ttname"><a href="fragment_8h.html">fragment.h</a></div><div class="ttdoc">Defines Fragment, a statically-sized array for storing parts of matrices within a thread&#39;s registers...</div></div>
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<div class="ttc" id="structcutlass_1_1ZipTileAllocation_html_acbdbed808b27997a0e8c22adfa9cc9b2"><div class="ttname"><a href="structcutlass_1_1ZipTileAllocation.html#acbdbed808b27997a0e8c22adfa9cc9b2">cutlass::ZipTileAllocation::First</a></div><div class="ttdeci">First_ First</div><div class="ttdoc">First tensor allocation. </div><div class="ttdef"><b>Definition:</b> tile_allocation.h:131</div></div>
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