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<a href="tensor__ref_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="coord_8h.html">cutlass/coord.h</a>"</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="vector_8h.html">cutlass/vector.h</a>"</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">template</span> <<span class="keywordtype">int</span> Rank></div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="structcutlass_1_1IdentityTensorMapFunc.html"> 41</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1IdentityTensorMapFunc.html">IdentityTensorMapFunc</a> {</div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="structcutlass_1_1IdentityTensorMapFunc.html#ac609498e7fe858b4fb3791d1039438f4"> 42</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1IdentityTensorMapFunc.html#ac609498e7fe858b4fb3791d1039438f4">kStorageRank</a> = Rank;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="structcutlass_1_1IdentityTensorMapFunc.html#a3922130841c34d3ce8c112ee6fae4ca1"> 44</a></span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> <a class="code" href="structcutlass_1_1IdentityTensorMapFunc.html#a3922130841c34d3ce8c112ee6fae4ca1">operator()</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> <span class="keyword">const</span> &coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">return</span> coord;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  }</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> };</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment">/* \brief Structure modeling a pointer and stride into a tensor.</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"></span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> A tensor consists of an index space with Rank_ dimensions. It is stored in memory modeled</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> as an n-D array, where n = StorageRank_. A mapping function maps the logical coordinates of the</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> tensor's index space into the n-D array, and a stride vector maps the n-D array to linear memory.</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"></span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> CUTLASS requires the n-D array's least significant, "fastest changing" dimension to</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> be contiguous in memory. It therefore has a stride of 1 and is not stored. Construction is offered</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> from vectors of full StorageRank and of the 'compact' rank, though it is in error to construct</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> with the least significant stride != 1.</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"></span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> The requirement that the least significant dimension be consecutive enables numerous optimizations</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"> and assumptions about vectorizing memory accesses throughout CUTLASS. It also matches various</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"> BLAS conventions in which only the "leading dimension" or most significant stride of a rank=2</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"> matrix is provided.</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"></span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> This does affect the ability of constructing arbitrary "sparse" 2-D matrices in memory where all</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> stride elements are > 1. This can be overcome by defining a custom mapping function and a</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment"> StorageRank of 3 or more.</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"></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"> Examples:</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> <span class="comment"> (These examples use helpers for matrix layouts defined in cutlass/matrix_traits.h)</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"></span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"> 1. Column-major matrix may be represented as a rank=2 tensor:</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"></span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"> TensorRef<float, 2, MatrixLayout::ColumnMajor> A(ptr_A, make_Coord(ldm, 1));</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"></span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"> 2. Row-major matrix may be represented as a rank=2 tensor:</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"></span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> TensorRef<float, 2, MatrixLayout::RowMajor> B(ptr_A, ldm);</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"></span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"> 3. An interleaved matrix may be represented as a rank=2 tensor:</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"></span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"> TensorRef<int8_t, 2, MatrixLayout::ColumnMajorInterleaved<32> > C;</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"></span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"> 4. Defining a sparse matrix with arbitrary strides in each dimension</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"></span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"> struct ContiguousLayout {</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment"></span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"> static int const kStorageRank = 3;</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"></span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"> CUTLASS_HOST_DEVICE</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> Coord<3> operator()(MatrixCoord const &coord) const {</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> return make_Coord(coord.row(), coord.column(), 0);</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"> }</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> };</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"></span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"> typedef TensorRef<float, 2, ContiguousLayout> ContiguousTensorRef;</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"></span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> // Construct the TensorRef object from a pair of stride values</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"> ContiguousTensorRef D(ptr_D, make_Coord(row_stride, column_stride));</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment"></span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment"></span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"> 5. A helper exists to define a TensorRef for a contiguous matrix whose layout</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"> is not known at compile time.</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment"></span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"> MatrixLayout::Kind layout; // Could be MatrixLayout::kRowMajor or MatrixLayout::kColumnMajor</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="comment"> int ldm; // leading dimension</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> <span class="comment"></span></div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="comment"> ContiguousTensorRef E(ptr_E, ContiguousLayout::stride(layout, ldm));</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"></span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment">*/</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keyword">typename</span> Storage_,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">int</span> Rank_,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keyword">typename</span> MapFunc_ = IdentityTensorMapFunc<Rank_>,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">int</span> StorageRank_ = MapFunc_::kStorageRank,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">typename</span> Index_ = int,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keyword">typename</span> LongIndex_ = <span class="keywordtype">long</span> <span class="keywordtype">long</span></div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> ></div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html"> 131</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> {</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009"> 134</a></span>  <span class="keyword">typedef</span> Storage_ <a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</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="classcutlass_1_1TensorRef.html#a429692d4ac03a3427fbd8fdfaac4ae31"> 137</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1TensorRef.html#a429692d4ac03a3427fbd8fdfaac4ae31">kRank</a> = Rank_;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#ad0273300d26125278b6930b1e463ff29"> 140</a></span>  <span class="keyword">typedef</span> MapFunc_ <a class="code" href="classcutlass_1_1TensorRef.html#ad0273300d26125278b6930b1e463ff29">MapFunc</a>;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2"> 143</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> = StorageRank_;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a2beda7a1946bde2858e730bece21b890"> 146</a></span>  <span class="keyword">typedef</span> Index_ <a class="code" href="classcutlass_1_1TensorRef.html#a2beda7a1946bde2858e730bece21b890">Index</a>;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a42ca6a39ab0e44296fed71a77c57b7b1"> 149</a></span>  <span class="keyword">typedef</span> LongIndex_ <a class="code" href="classcutlass_1_1TensorRef.html#a42ca6a39ab0e44296fed71a77c57b7b1">LongIndex</a>;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00152"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a35b7e1fc59298e0f06f484652d62fd65"> 152</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1Coord.html">Coord<kRank></a> <a class="code" href="classcutlass_1_1TensorRef.html#a35b7e1fc59298e0f06f484652d62fd65">TensorCoord</a>;</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a455a2df539b53086699c210d06df1c5d"> 155</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1Coord.html">Coord<kStorageRank></a> <a class="code" href="classcutlass_1_1TensorRef.html#a455a2df539b53086699c210d06df1c5d">StorageCoord</a>;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a07c4b1ace7c8799537553b54cfe0a059"> 159</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1Coord.html">Coord</a><<a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1> <a class="code" href="classcutlass_1_1TensorRef.html#a07c4b1ace7c8799537553b54cfe0a059">StrideVector</a>;</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>  <span class="keyword">typedef</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a><</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1platform_1_1remove__const.html#ac3662947fa50251daf58240a9c798085">platform::remove_const<Storage>::type</a> <span class="keyword">const</span>,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  Rank_,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  MapFunc_,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  StorageRank_,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  Index_,</div><div class="line"><a name="l00168"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a8281d11677512d6e229504ab4babad17"> 168</a></span>  LongIndex_> <a class="code" href="classcutlass_1_1TensorRef.html#a8281d11677512d6e229504ab4babad17">ConstTensorRef</a>;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00173"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a758f24783e36ffc393b360d0b8640bc6"> 173</a></span>  <a class="code" href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a429692d4ac03a3427fbd8fdfaac4ae31">kRank</a> > 0, <span class="stringliteral">"Cannot define a zero-rank TensorRef"</span>);</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="comment">//</span></div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="comment">// Definitions included for backwards compatibility - to be removed in next major release</span></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="comment">//</span></div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <a class="code" href="classcutlass_1_1TensorRef.html#a758f24783e36ffc393b360d0b8640bc6">Coord_t</a>;</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> </div><div class="line"><a name="l00183"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a2088b39881deef375af08511bca1e90a"> 183</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1TensorRef.html#a2088b39881deef375af08511bca1e90a">Rank</a> = <a class="code" href="classcutlass_1_1TensorRef.html#a429692d4ac03a3427fbd8fdfaac4ae31">kRank</a>;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a>* ptr_;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="structcutlass_1_1Coord.html">StrideVector</a> stride_;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="structcutlass_1_1IdentityTensorMapFunc.html">MapFunc</a> coord_map_;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="comment">//</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="comment">//</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> </div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00204"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a5a667a48c64fb916c31802b73b769765"> 204</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#a5a667a48c64fb916c31802b73b769765">TensorRef</a>(<a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a> *ptr = <span class="keyword">nullptr</span>): ptr_(ptr) {</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < <a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1; ++i) {</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  stride_[i] = 1;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  }</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  }</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">// Higher ranks are projected onto the fastest-changing rank.</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00213"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a48b9b4ad9034f6cf2b7c2ee479aea135"> 213</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#a48b9b4ad9034f6cf2b7c2ee479aea135">TensorRef</a>(<a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a>* ptr, <a class="code" href="classcutlass_1_1TensorRef.html#a2beda7a1946bde2858e730bece21b890">Index</a> ldm) {</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  ptr_ = ptr;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < <a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1; ++i) {</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  stride_[i] = ldm;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  }</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  }</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00222"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#afe4fc6fa539f36b2764707d50351905c"> 222</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#afe4fc6fa539f36b2764707d50351905c">TensorRef</a>(<a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a>* ptr, <a class="code" href="structcutlass_1_1Coord.html">StrideVector</a> <span class="keyword">const</span>& <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>) : ptr_(ptr), stride_(<a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>) {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  }</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#aeca439296c8446741ba84b78f5a601e0"> 229</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#aeca439296c8446741ba84b78f5a601e0">TensorRef</a>(<a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a>* ptr, <a class="code" href="structcutlass_1_1Coord.html">StorageCoord</a> <span class="keyword">const</span>& <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>) {</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="comment">// Fastest-changing stride must be one</span></div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">if</span> (<a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>.<a class="code" href="structcutlass_1_1Coord.html#a9eff24a3b74b68d11839b92324613c93">at</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1) == 1) {</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  ptr_ = ptr;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < <a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1; ++i) {</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  stride_[i] = <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>[i];</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  }</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  }</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="comment">// Fastest-chaning stride must be 1.</span></div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a7ec815838aed4e02dd96acb1000614c0">reset</a>();</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  }</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  }</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00245"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#afe92be0a61fb8fc84426f4907faca6c1"> 245</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#afe92be0a61fb8fc84426f4907faca6c1">TensorRef</a>(</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a><</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1platform_1_1remove__const.html#ac3662947fa50251daf58240a9c798085">platform::remove_const<Storage>::type</a>,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a429692d4ac03a3427fbd8fdfaac4ae31">kRank</a>,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="structcutlass_1_1IdentityTensorMapFunc.html">MapFunc</a>,</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a>,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a2beda7a1946bde2858e730bece21b890">Index</a>,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a42ca6a39ab0e44296fed71a77c57b7b1">LongIndex</a>> <span class="keyword">const</span> &ref</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  ):</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  ptr_(ref.<a class="code" href="classcutlass_1_1TensorRef.html#ae1c80b524cd9491e2d499d703e1459f7">data</a>()) {</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < <a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1; ++i) {</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  stride_[i] = ref.stride(i);</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  }</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  }</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00262"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a6ab468e38773f5a971a8428673fb5e47"> 262</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">ConstTensorRef</a> <a class="code" href="classcutlass_1_1TensorRef.html#a6ab468e38773f5a971a8428673fb5e47">const_ref</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorRef.html#a8281d11677512d6e229504ab4babad17">ConstTensorRef</a>(*<span class="keyword">this</span>);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  }</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00268"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a7ec815838aed4e02dd96acb1000614c0"> 268</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1TensorRef.html#a7ec815838aed4e02dd96acb1000614c0">reset</a>(<a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a>* ptr = <span class="keyword">nullptr</span>) {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  ptr_ = ptr;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  }</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00274"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a7a1da27a46883eb68e3f8983670b784b"> 274</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1TensorRef.html#a7a1da27a46883eb68e3f8983670b784b">reset</a>(<a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a>* ptr, <a class="code" href="structcutlass_1_1Coord.html">StorageCoord</a> <span class="keyword">const</span> & <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>) {</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="comment">// Fastest-changing stride must be one</span></div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">if</span> (<a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>.<a class="code" href="structcutlass_1_1Coord.html#a9eff24a3b74b68d11839b92324613c93">at</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1) == 1) {</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  ptr_ = ptr;</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < <a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1; ++i) {</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  stride_[i] = <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>[i];</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  }</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  }</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="comment">// Fastest-changing stride must be 1 - this is an error.</span></div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a7ec815838aed4e02dd96acb1000614c0">reset</a>();</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  }</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  }</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00290"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a2dbee889626b4764d30e9058ef3a7ae8"> 290</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classcutlass_1_1TensorRef.html#a2dbee889626b4764d30e9058ef3a7ae8">good</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">return</span> ptr_ != <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  }</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00296"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#ae1c80b524cd9491e2d499d703e1459f7"> 296</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a> * <a class="code" href="classcutlass_1_1TensorRef.html#ae1c80b524cd9491e2d499d703e1459f7">data</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> ptr_; }</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00300"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c"> 300</a></span>  <a class="code" href="structcutlass_1_1Coord.html">StorageCoord</a> <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <a class="code" href="structcutlass_1_1Coord.html">StorageCoord</a> ld;</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < <a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1; ++i) {</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  ld[i] = stride_[i];</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  }</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  ld[<a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1] = 1;</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keywordflow">return</span> ld;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  }</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> </div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00311"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#aa6956072f1231b79fe8925a78c4760b7"> 311</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#a2beda7a1946bde2858e730bece21b890">Index</a> <a class="code" href="classcutlass_1_1TensorRef.html#aa6956072f1231b79fe8925a78c4760b7">stride</a>(<span class="keywordtype">int</span> dim)<span class="keyword"> const </span>{</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="comment">// fastest-changing stride assumbed to be 1</span></div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">if</span> (dim + 1 >= <a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a>) {</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">return</span> 1;</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  }</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordflow">return</span> stride_.<a class="code" href="structcutlass_1_1Coord.html#a9eff24a3b74b68d11839b92324613c93">at</a>(dim);</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  }</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00321"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#aa60b92372db1da1d2aa997d6a03e01ca"> 321</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#a2beda7a1946bde2858e730bece21b890">Index</a> <a class="code" href="classcutlass_1_1TensorRef.html#aa60b92372db1da1d2aa997d6a03e01ca">leading_dim</a>(<span class="keywordtype">int</span> idx = 0)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>(idx); }</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00325"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a07dfe328d4a8316e79e9acde50582360"> 325</a></span>  <a class="code" href="structcutlass_1_1Coord.html">StorageCoord</a> <a class="code" href="classcutlass_1_1TensorRef.html#a07dfe328d4a8316e79e9acde50582360">map</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span> &coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordflow">return</span> coord_map_(coord);</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  }</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> </div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00331"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1"> 331</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#a42ca6a39ab0e44296fed71a77c57b7b1">LongIndex</a> <a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>().template dot<LongIndex>(<a class="code" href="classcutlass_1_1TensorRef.html#a07dfe328d4a8316e79e9acde50582360">map</a>(coord));</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  }</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00337"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a4169a1344897c2c87822ee49d5e0002f"> 337</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a>& <a class="code" href="classcutlass_1_1TensorRef.html#a4169a1344897c2c87822ee49d5e0002f">at</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">return</span> ptr_[<a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(coord)];</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  }</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00343"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#ab0cf071be50423dece4e931878573a1c"> 343</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a>& <a class="code" href="classcutlass_1_1TensorRef.html#ab0cf071be50423dece4e931878573a1c">at</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a42ca6a39ab0e44296fed71a77c57b7b1">LongIndex</a> idx)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> ptr_[idx]; }</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00347"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#ada832ce3a57aaf4919b1ed89192f1fa6"> 347</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a>& <a class="code" href="classcutlass_1_1TensorRef.html#ada832ce3a57aaf4919b1ed89192f1fa6">operator[]</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordflow">return</span> ptr_[<a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(coord)];</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  }</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00353"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a207a0dabf6c368fa1edcb32baa2110e3"> 353</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a>& <a class="code" href="classcutlass_1_1TensorRef.html#a207a0dabf6c368fa1edcb32baa2110e3">operator[]</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a42ca6a39ab0e44296fed71a77c57b7b1">LongIndex</a> idx)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> ptr_[idx]; }</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00357"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143"> 357</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> & <a class="code" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a42ca6a39ab0e44296fed71a77c57b7b1">LongIndex</a> delta) {</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  ptr_ += delta;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  }</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> </div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00364"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a0a4fd9ace579b46bc9d575b8adc6882f"> 364</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> <a class="code" href="classcutlass_1_1TensorRef.html#a0a4fd9ace579b46bc9d575b8adc6882f">operator+</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& b)<span class="keyword"> const </span>{</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> result(*<span class="keyword">this</span>);</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  result.<a class="code" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(b));</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  }</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00372"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a727d9c25d6df0aa9e795123b638b9306"> 372</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a>& <a class="code" href="classcutlass_1_1TensorRef.html#a727d9c25d6df0aa9e795123b638b9306">operator+=</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& b) {</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(b));</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  }</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00379"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a4a56b323aed2a3b2c843c276b68378fa"> 379</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> <a class="code" href="classcutlass_1_1TensorRef.html#a4a56b323aed2a3b2c843c276b68378fa">operator-</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& b)<span class="keyword"> const </span>{</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> result(*<span class="keyword">this</span>);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  result.<a class="code" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">add_pointer_offset</a>(-<a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(b));</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  }</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span> </div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00387"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a5b5af26da32278d19c27c0d5a4a18890"> 387</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a>& <a class="code" href="classcutlass_1_1TensorRef.html#a5b5af26da32278d19c27c0d5a4a18890">operator-=</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& b) {</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">add_pointer_offset</a>(-<a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(b));</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> };</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> <span class="comment">//</span></div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> <span class="comment">// Partial specializations to handle degenerate cases.</span></div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> <span class="comment">//</span></div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> <span class="comment"></span></div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">typename</span> Storage_,</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keywordtype">int</span> Rank_,</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keyword">typename</span> MapFunc_,</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">typename</span> Index_,</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keyword">typename</span> LongIndex_</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> ></div><div class="line"><a name="l00412"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html"> 412</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a><Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_> {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00415"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7"> 415</a></span>  <span class="keyword">typedef</span> Storage_ <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">Storage</a>;</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> </div><div class="line"><a name="l00418"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#abff03af38d99413315824c476e9a7d78"> 418</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1TensorRef.html#a429692d4ac03a3427fbd8fdfaac4ae31">kRank</a> = Rank_;</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div><div class="line"><a name="l00421"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ac19ed34103d115d99e835ad9c1164a2f"> 421</a></span>  <span class="keyword">typedef</span> MapFunc_ <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ac19ed34103d115d99e835ad9c1164a2f">MapFunc</a>;</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> </div><div class="line"><a name="l00424"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a9bae6c2fd5ac6c97c97786c89862c298"> 424</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> = 1;</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> </div><div class="line"><a name="l00427"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aa72857a51fafb4764ef338aea16ddfa3"> 427</a></span>  <span class="keyword">typedef</span> Index_ <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aa72857a51fafb4764ef338aea16ddfa3">Index</a>;</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div><div class="line"><a name="l00430"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a9ad2f8da5e7e6b616dd05f792032699b"> 430</a></span>  <span class="keyword">typedef</span> LongIndex_ <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a9ad2f8da5e7e6b616dd05f792032699b">LongIndex</a>;</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div><div class="line"><a name="l00433"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aeca2ec193d8a07dc9073c6b199215c88"> 433</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1Coord.html">Coord<kRank></a> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aeca2ec193d8a07dc9073c6b199215c88">TensorCoord</a>;</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> </div><div class="line"><a name="l00436"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a6893c1a9057713560b46a9062b29b116"> 436</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1Coord.html">Coord<kStorageRank></a> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a6893c1a9057713560b46a9062b29b116">StorageCoord</a>;</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span> </div><div class="line"><a name="l00440"></a><span class="lineno"><a class="line" href="structcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_1_1StrideVector.html"> 440</a></span>  <span class="keyword">struct </span><a class="code" href="classcutlass_1_1TensorRef.html#a07c4b1ace7c8799537553b54cfe0a059">StrideVector</a> { };</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span> </div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keyword">typedef</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a><</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1platform_1_1remove__const.html#ac3662947fa50251daf58240a9c798085">platform::remove_const<Storage>::type</a> <span class="keyword">const</span>,</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  Rank_,</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  MapFunc_,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a>,</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  Index_,</div><div class="line"><a name="l00449"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a0c95903f2b959003534cd2d78d4b9496"> 449</a></span>  LongIndex_> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a0c95903f2b959003534cd2d78d4b9496">ConstTensorRef</a>;</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span> </div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="comment">//</span></div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="comment">// Definitions included for backwards compatibility - to be removed in next major release</span></div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="comment">//</span></div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> </div><div class="line"><a name="l00456"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a705c22cb328c4dc9365c2f370ece2031"> 456</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a705c22cb328c4dc9365c2f370ece2031">Coord_t</a>;</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> </div><div class="line"><a name="l00459"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a233fba9abdbbd0fe3a2cc7465ea76a41"> 459</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1TensorRef.html#a2088b39881deef375af08511bca1e90a">Rank</a> = <a class="code" href="classcutlass_1_1TensorRef.html#a429692d4ac03a3427fbd8fdfaac4ae31">kRank</a>;</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> </div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">Storage</a>* ptr_;</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> </div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ac19ed34103d115d99e835ad9c1164a2f">MapFunc</a> coord_map_;</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> </div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="comment">//</span></div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="comment">//</span></div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00477"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aa091e497277d0ba8a98c4ebf73c0cdba"> 477</a></span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aa091e497277d0ba8a98c4ebf73c0cdba">TensorRef</a>(<a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">Storage</a> *ptr = <span class="keyword">nullptr</span>): ptr_(ptr) { }</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span> </div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00481"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a3464537a35ef7fbfc9349e5ce2233f1c"> 481</a></span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a3464537a35ef7fbfc9349e5ce2233f1c">TensorRef</a>(<a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">Storage</a>* ptr, <a class="code" href="classcutlass_1_1TensorRef.html#a07c4b1ace7c8799537553b54cfe0a059">StrideVector</a> <span class="keyword">const</span>& <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>) : ptr_(ptr) {</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span> </div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  }</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> </div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00488"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aeacb444d31783eafe27a9e8d8cab98f8"> 488</a></span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aeacb444d31783eafe27a9e8d8cab98f8">TensorRef</a>(<a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">Storage</a>* ptr, <a class="code" href="structcutlass_1_1Coord.html">StorageCoord</a> <span class="keyword">const</span>& <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>) {</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="comment">// Fastest-changing stride must be one</span></div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">if</span> (<a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>.<a class="code" href="structcutlass_1_1Coord.html#a9eff24a3b74b68d11839b92324613c93">at</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1) == 1) {</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  ptr_ = ptr;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  }</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="comment">// Fastest-chaning stride must be 1.</span></div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a7ec815838aed4e02dd96acb1000614c0">reset</a>();</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  }</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  }</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> </div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00501"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#af815dd66739801b10d43acc097e23636"> 501</a></span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#af815dd66739801b10d43acc097e23636">TensorRef</a>(</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a><</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1platform_1_1remove__const.html#ac3662947fa50251daf58240a9c798085">platform::remove_const<Storage>::type</a>,</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a429692d4ac03a3427fbd8fdfaac4ae31">kRank</a>,</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ac19ed34103d115d99e835ad9c1164a2f">MapFunc</a>,</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a>,</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aa72857a51fafb4764ef338aea16ddfa3">Index</a>,</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a9ad2f8da5e7e6b616dd05f792032699b">LongIndex</a>> <span class="keyword">const</span> &ref</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  ):</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  ptr_(ref.<a class="code" href="classcutlass_1_1TensorRef.html#ae1c80b524cd9491e2d499d703e1459f7">data</a>()) {</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  }</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00515"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a0a48de201c35cbc9d5e3b94fa597a617"> 515</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">ConstTensorRef</a> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a0a48de201c35cbc9d5e3b94fa597a617">const_ref</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorRef.html#a8281d11677512d6e229504ab4babad17">ConstTensorRef</a>(*<span class="keyword">this</span>);</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  }</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span> </div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00521"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a1043f0ef382179b8ecd9f4e710f6e106"> 521</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a1043f0ef382179b8ecd9f4e710f6e106">reset</a>(<a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">Storage</a>* ptr = <span class="keyword">nullptr</span>) {</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  ptr_ = ptr;</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  }</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> </div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00527"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a6339a8ac88f9172acf0337d149b98cb4"> 527</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a6339a8ac88f9172acf0337d149b98cb4">reset</a>(<a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">Storage</a>* ptr, <a class="code" href="structcutlass_1_1Coord.html">StorageCoord</a> <span class="keyword">const</span> & <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>) {</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  <span class="comment">// Fastest-changing stride must be one</span></div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordflow">if</span> (<a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>.<a class="code" href="structcutlass_1_1Coord.html#a9eff24a3b74b68d11839b92324613c93">at</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1) == 1) {</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  ptr_ = ptr;</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  }</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="comment">// Fastest-changing stride must be 1 - this is an error.</span></div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a7ec815838aed4e02dd96acb1000614c0">reset</a>();</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  }</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  }</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> </div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00540"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a8e1cfab3a220175dad58239c764a5d98"> 540</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a8e1cfab3a220175dad58239c764a5d98">good</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <span class="keywordflow">return</span> ptr_ != <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  }</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span> </div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00546"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a67b25cc51ce867b073feead7b94e6aa3"> 546</a></span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">Storage</a> * <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a67b25cc51ce867b073feead7b94e6aa3">data</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> ptr_; }</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> </div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00550"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#af5615a41f73259e579a122c86e08d6f9"> 550</a></span>  <a class="code" href="structcutlass_1_1Coord.html">StorageCoord</a> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#af5615a41f73259e579a122c86e08d6f9">stride</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <a class="code" href="structcutlass_1_1Coord.html">StorageCoord</a> ld;</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  ld[<a class="code" href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">kStorageRank</a> - 1] = 1;</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keywordflow">return</span> ld;</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  }</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00558"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#af83380ffc0e5949d40d1a5039a5ddc00"> 558</a></span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aa72857a51fafb4764ef338aea16ddfa3">Index</a> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#af83380ffc0e5949d40d1a5039a5ddc00">stride</a>(<span class="keywordtype">int</span> dim)<span class="keyword"> const </span>{</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="comment">// fastest-changing stride assumbed to be 1</span></div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keywordflow">return</span> 1;</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  }</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00565"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a6c580a451a36143d1eb0e409e7b13e33"> 565</a></span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aa72857a51fafb4764ef338aea16ddfa3">Index</a> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a6c580a451a36143d1eb0e409e7b13e33">leading_dim</a>(<span class="keywordtype">int</span> idx = 0)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> 1; }</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> </div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00569"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a215f63b5a1b3799654c5670ef108fcfb"> 569</a></span>  <a class="code" href="structcutlass_1_1Coord.html">StorageCoord</a> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a215f63b5a1b3799654c5670ef108fcfb">map</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span> &coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keywordflow">return</span> coord_map_(coord);</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  }</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00575"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a07c7f56e724cfbc844777e8ee9f616b5"> 575</a></span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a9ad2f8da5e7e6b616dd05f792032699b">LongIndex</a> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a07c7f56e724cfbc844777e8ee9f616b5">offset</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>().template dot<LongIndex>(<a class="code" href="classcutlass_1_1TensorRef.html#a07dfe328d4a8316e79e9acde50582360">map</a>(coord));</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  }</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> </div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00581"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a597bb02594c918c50f0bdb0cb4ce74c8"> 581</a></span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">Storage</a>& <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a597bb02594c918c50f0bdb0cb4ce74c8">at</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keywordflow">return</span> ptr_[<a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(coord)];</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  }</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span> </div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00587"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a92371a586e756734522a853bef74324d"> 587</a></span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">Storage</a>& <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a92371a586e756734522a853bef74324d">at</a>(<a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a9ad2f8da5e7e6b616dd05f792032699b">LongIndex</a> idx)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> ptr_[idx]; }</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> </div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00591"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a64a5e91e01555b8bfd22875543573d22"> 591</a></span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">Storage</a>& <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a64a5e91e01555b8bfd22875543573d22">operator[]</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keywordflow">return</span> ptr_[<a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(coord)];</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  }</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> </div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00597"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a57f132816e51bbdb4c807d57c067b619"> 597</a></span>  <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">Storage</a>& <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a57f132816e51bbdb4c807d57c067b619">operator[]</a>(<a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a9ad2f8da5e7e6b616dd05f792032699b">LongIndex</a> idx)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> ptr_[idx]; }</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> </div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00601"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a93ff0a9fda3e136a1674aeb82de050db"> 601</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> & <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a93ff0a9fda3e136a1674aeb82de050db">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a9ad2f8da5e7e6b616dd05f792032699b">LongIndex</a> delta) {</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  ptr_ += delta;</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  }</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span> </div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00608"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ad054f14b5580c9480d671b8fc8ef016a"> 608</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ad054f14b5580c9480d671b8fc8ef016a">operator+</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& b)<span class="keyword"> const </span>{</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> result(*<span class="keyword">this</span>);</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  result.<a class="code" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(b));</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  }</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span> </div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00616"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a0753aeb57365a976bc0a88481af504cb"> 616</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a>& <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a0753aeb57365a976bc0a88481af504cb">operator+=</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& b) {</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">add_pointer_offset</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(b));</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  }</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span> </div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00623"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#afde28cda18918d3e177d3e5024ed3dd4"> 623</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#afde28cda18918d3e177d3e5024ed3dd4">operator-</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& b)<span class="keyword"> const </span>{</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> result(*<span class="keyword">this</span>);</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  result.<a class="code" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">add_pointer_offset</a>(-<a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(b));</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  }</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span> </div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00631"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a11964d045ac8e41c80026515adb03008"> 631</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a>& <a class="code" href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a11964d045ac8e41c80026515adb03008">operator-=</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& b) {</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">add_pointer_offset</a>(-<a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(b));</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  }</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span> };</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span> </div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span> </div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a6893c1a9057713560b46a9062b29b116"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a6893c1a9057713560b46a9062b29b116">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::StorageCoord</a></div><div class="ttdeci">Coord< kStorageRank > StorageCoord</div><div class="ttdoc">Coordinate in storage n-D array. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:436</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a207a0dabf6c368fa1edcb32baa2110e3"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a207a0dabf6c368fa1edcb32baa2110e3">cutlass::TensorRef::operator[]</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Storage & operator[](LongIndex idx) const</div><div class="ttdoc">Returns a reference to the element at a given linear index. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:353</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_af815dd66739801b10d43acc097e23636"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#af815dd66739801b10d43acc097e23636">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::TensorRef</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef(TensorRef< typename platform::remove_const< Storage >::type, kRank, MapFunc, kStorageRank, Index, LongIndex > const &ref)</div><div class="ttdoc">Enables conversion from TensorRef of non-const type. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:501</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a758f24783e36ffc393b360d0b8640bc6"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a758f24783e36ffc393b360d0b8640bc6">cutlass::TensorRef::Coord_t</a></div><div class="ttdeci">TensorCoord Coord_t</div><div class="ttdoc">Coordinate in logical tensor space. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:173</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a93ff0a9fda3e136a1674aeb82de050db"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a93ff0a9fda3e136a1674aeb82de050db">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef & add_pointer_offset(LongIndex delta)</div><div class="ttdoc">Adds an offset to each pointer. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:601</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_ae1c80b524cd9491e2d499d703e1459f7"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#ae1c80b524cd9491e2d499d703e1459f7">cutlass::TensorRef::data</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Storage * data() const</div><div class="ttdoc">Returns the pointer to referenced data. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:296</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a6339a8ac88f9172acf0337d149b98cb4"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a6339a8ac88f9172acf0337d149b98cb4">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::reset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void reset(Storage *ptr, StorageCoord const &stride)</div><div class="ttdoc">Updates the pointer, stride, and location within a TensorRef. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:527</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a597bb02594c918c50f0bdb0cb4ce74c8"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a597bb02594c918c50f0bdb0cb4ce74c8">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Storage & at(TensorCoord const &coord) const</div><div class="ttdoc">Returns a reference to the element at a given Coord. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:581</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> convert.h:33</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_aa091e497277d0ba8a98c4ebf73c0cdba"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aa091e497277d0ba8a98c4ebf73c0cdba">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::TensorRef</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef(Storage *ptr=nullptr)</div><div class="ttdoc">Helper for 1-D memory. All higher ranks are projected onto the fastest changing rank. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:477</div></div>
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<div class="ttc" id="structcutlass_1_1platform_1_1remove__const_html_ac3662947fa50251daf58240a9c798085"><div class="ttname"><a href="structcutlass_1_1platform_1_1remove__const.html#ac3662947fa50251daf58240a9c798085">cutlass::platform::remove_const::type</a></div><div class="ttdeci">T type</div><div class="ttdef"><b>Definition:</b> platform.h:377</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a429692d4ac03a3427fbd8fdfaac4ae31"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a429692d4ac03a3427fbd8fdfaac4ae31">cutlass::TensorRef::kRank</a></div><div class="ttdeci">static int const kRank</div><div class="ttdoc">Logical rank of tensor index space. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:137</div></div>
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<div class="ttc" id="coord_8h_html"><div class="ttname"><a href="coord_8h.html">coord.h</a></div><div class="ttdoc">A Coord is a coordinate of arbitrary rank into a tensor or matrix. </div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a7a1da27a46883eb68e3f8983670b784b"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a7a1da27a46883eb68e3f8983670b784b">cutlass::TensorRef::reset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void reset(Storage *ptr, StorageCoord const &stride)</div><div class="ttdoc">Updates the pointer, stride, and location within a TensorRef. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:274</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a67b25cc51ce867b073feead7b94e6aa3"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a67b25cc51ce867b073feead7b94e6aa3">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::data</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Storage * data() const</div><div class="ttdoc">Returns the pointer to referenced data. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:546</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a7ec815838aed4e02dd96acb1000614c0"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a7ec815838aed4e02dd96acb1000614c0">cutlass::TensorRef::reset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void reset(Storage *ptr=nullptr)</div><div class="ttdoc">Updates only the pointer. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:268</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a57f132816e51bbdb4c807d57c067b619"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a57f132816e51bbdb4c807d57c067b619">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::operator[]</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Storage & operator[](LongIndex idx) const</div><div class="ttdoc">Returns a reference to the element at a given linear index. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:597</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_afe92be0a61fb8fc84426f4907faca6c1"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#afe92be0a61fb8fc84426f4907faca6c1">cutlass::TensorRef::TensorRef</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef(TensorRef< typename platform::remove_const< Storage >::type, kRank, MapFunc, kStorageRank, Index, LongIndex > const &ref)</div><div class="ttdoc">Enables conversion from TensorRef of non-const type. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:245</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a0a4fd9ace579b46bc9d575b8adc6882f"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a0a4fd9ace579b46bc9d575b8adc6882f">cutlass::TensorRef::operator+</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef operator+(TensorCoord const &b) const</div><div class="ttdoc">Returns a TensorRef offset by a given amount. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:364</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_ad0273300d26125278b6930b1e463ff29"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#ad0273300d26125278b6930b1e463ff29">cutlass::TensorRef::MapFunc</a></div><div class="ttdeci">MapFunc_ MapFunc</div><div class="ttdoc">Mapping function from logical coordinate to internal n-D array. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:140</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_ad327edfe1f8085632ff682d354922009"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">cutlass::TensorRef::Storage</a></div><div class="ttdeci">Storage_ Storage</div><div class="ttdoc">Data type of individual access. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:134</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_aa6956072f1231b79fe8925a78c4760b7"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#aa6956072f1231b79fe8925a78c4760b7">cutlass::TensorRef::stride</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index stride(int dim) const</div><div class="ttdoc">Returns the stride of the tensor in the given dimension. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:311</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_af83380ffc0e5949d40d1a5039a5ddc00"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#af83380ffc0e5949d40d1a5039a5ddc00">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::stride</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index stride(int dim) const</div><div class="ttdoc">Returns the stride of the tensor in the given dimension. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:558</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a3464537a35ef7fbfc9349e5ce2233f1c"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a3464537a35ef7fbfc9349e5ce2233f1c">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::TensorRef</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef(Storage *ptr, StrideVector const &stride)</div><div class="ttdoc">Constructs from a single pointer and stride vector. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:481</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a11964d045ac8e41c80026515adb03008"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a11964d045ac8e41c80026515adb03008">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::operator-=</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef & operator-=(TensorCoord const &b)</div><div class="ttdoc">Returns a TensorRef offset by a given amount. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:631</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_adb52dd6f9f68e7b8b67b8ddfb5c0021c"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">cutlass::TensorRef::stride</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE StorageCoord stride() const</div><div class="ttdoc">Returns the stride of the tensor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:300</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a5f0363da1e0544f256438e066d3cc143"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">cutlass::TensorRef::add_pointer_offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef & add_pointer_offset(LongIndex delta)</div><div class="ttdoc">Adds an offset to each pointer. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:357</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a1043f0ef382179b8ecd9f4e710f6e106"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a1043f0ef382179b8ecd9f4e710f6e106">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::reset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void reset(Storage *ptr=nullptr)</div><div class="ttdoc">Updates only the pointer. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:521</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a2beda7a1946bde2858e730bece21b890"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a2beda7a1946bde2858e730bece21b890">cutlass::TensorRef::Index</a></div><div class="ttdeci">Index_ Index</div><div class="ttdoc">Index type. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:146</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_ada832ce3a57aaf4919b1ed89192f1fa6"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#ada832ce3a57aaf4919b1ed89192f1fa6">cutlass::TensorRef::operator[]</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Storage & operator[](TensorCoord const &coord) const</div><div class="ttdoc">Returns a reference to the element at a given Coord. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:347</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a0c95903f2b959003534cd2d78d4b9496"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a0c95903f2b959003534cd2d78d4b9496">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::ConstTensorRef</a></div><div class="ttdeci">TensorRef< typename platform::remove_const< Storage >::type const, Rank_, MapFunc_, kStorageRank, Index_, LongIndex_ > ConstTensorRef</div><div class="ttdoc">Tensor reference to of constant value. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:449</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a92371a586e756734522a853bef74324d"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a92371a586e756734522a853bef74324d">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Storage & at(LongIndex idx) const</div><div class="ttdoc">Returns a reference to the element at a given linear index. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:587</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_afde28cda18918d3e177d3e5024ed3dd4"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#afde28cda18918d3e177d3e5024ed3dd4">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::operator-</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef operator-(TensorCoord const &b) const</div><div class="ttdoc">Returns a TensorRef offset by a given amount. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:623</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a48b9b4ad9034f6cf2b7c2ee479aea135"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a48b9b4ad9034f6cf2b7c2ee479aea135">cutlass::TensorRef::TensorRef</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef(Storage *ptr, Index ldm)</div><div class="ttdoc">Helper to construct from a pointer and single stride element for 2-D pitch linear memory...</div><div class="ttdef"><b>Definition:</b> tensor_ref.h:213</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a07dfe328d4a8316e79e9acde50582360"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a07dfe328d4a8316e79e9acde50582360">cutlass::TensorRef::map</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE StorageCoord map(TensorCoord const &coord) const</div><div class="ttdoc">Maps a logical coordinate to an n-D array in memory. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:325</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_ab0cf071be50423dece4e931878573a1c"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#ab0cf071be50423dece4e931878573a1c">cutlass::TensorRef::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Storage & at(LongIndex idx) const</div><div class="ttdoc">Returns a reference to the element at a given linear index. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:343</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a42ca6a39ab0e44296fed71a77c57b7b1"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a42ca6a39ab0e44296fed71a77c57b7b1">cutlass::TensorRef::LongIndex</a></div><div class="ttdeci">LongIndex_ LongIndex</div><div class="ttdoc">Typically, strides in memory can be very large. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:149</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a455a2df539b53086699c210d06df1c5d"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a455a2df539b53086699c210d06df1c5d">cutlass::TensorRef::StorageCoord</a></div><div class="ttdeci">Coord< kStorageRank > StorageCoord</div><div class="ttdoc">Coordinate in storage n-D array. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:155</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_ab5dbedeff1ae3d2936b6ce76023a18f7"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ab5dbedeff1ae3d2936b6ce76023a18f7">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::Storage</a></div><div class="ttdeci">Storage_ Storage</div><div class="ttdoc">Data type of individual access. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:415</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_ad054f14b5580c9480d671b8fc8ef016a"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ad054f14b5580c9480d671b8fc8ef016a">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::operator+</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef operator+(TensorCoord const &b) const</div><div class="ttdoc">Returns a TensorRef offset by a given amount. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:608</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a5a667a48c64fb916c31802b73b769765"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a5a667a48c64fb916c31802b73b769765">cutlass::TensorRef::TensorRef</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef(Storage *ptr=nullptr)</div><div class="ttdoc">Helper for 1-D memory. All higher ranks are projected onto the fastest changing rank. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:204</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a727d9c25d6df0aa9e795123b638b9306"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a727d9c25d6df0aa9e795123b638b9306">cutlass::TensorRef::operator+=</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef & operator+=(TensorCoord const &b)</div><div class="ttdoc">Returns a TensorRef offset by a given amount. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:372</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a8281d11677512d6e229504ab4babad17"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a8281d11677512d6e229504ab4babad17">cutlass::TensorRef::ConstTensorRef</a></div><div class="ttdeci">TensorRef< typename platform::remove_const< Storage >::type const, Rank_, MapFunc_, StorageRank_, Index_, LongIndex_ > ConstTensorRef</div><div class="ttdoc">Tensor reference to of constant value. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:168</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</a></div><div class="ttdef"><b>Definition:</b> tensor_ref.h:131</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_af5615a41f73259e579a122c86e08d6f9"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#af5615a41f73259e579a122c86e08d6f9">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::stride</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE StorageCoord stride() const</div><div class="ttdoc">Returns the stride of the tensor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:550</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a35b7e1fc59298e0f06f484652d62fd65"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a35b7e1fc59298e0f06f484652d62fd65">cutlass::TensorRef::TensorCoord</a></div><div class="ttdeci">Coord< kRank > TensorCoord</div><div class="ttdoc">Coordinate in logical tensor space. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:152</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a425ff3d894ed1153eee79b1944fa5ed2"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a425ff3d894ed1153eee79b1944fa5ed2">cutlass::TensorRef::kStorageRank</a></div><div class="ttdeci">static int const kStorageRank</div><div class="ttdoc">Rank of internal storage. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:143</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a2088b39881deef375af08511bca1e90a"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a2088b39881deef375af08511bca1e90a">cutlass::TensorRef::Rank</a></div><div class="ttdeci">static int const Rank</div><div class="ttdoc">Logical rank of tensor index space. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:183</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a705c22cb328c4dc9365c2f370ece2031"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a705c22cb328c4dc9365c2f370ece2031">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::Coord_t</a></div><div class="ttdeci">TensorCoord Coord_t</div><div class="ttdoc">Coordinate in logical tensor space. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:456</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_aeacb444d31783eafe27a9e8d8cab98f8"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aeacb444d31783eafe27a9e8d8cab98f8">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::TensorRef</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef(Storage *ptr, StorageCoord const &stride)</div><div class="ttdef"><b>Definition:</b> tensor_ref.h:488</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:46</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a8e1cfab3a220175dad58239c764a5d98"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a8e1cfab3a220175dad58239c764a5d98">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::good</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE bool good() const</div><div class="ttdoc">Returns true if the TensorRef may be safely accessed. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:540</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a6c580a451a36143d1eb0e409e7b13e33"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a6c580a451a36143d1eb0e409e7b13e33">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::leading_dim</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index leading_dim(int idx=0) const</div><div class="ttdoc">Returns the maximum stride element as the &#39;leading dimension&#39;. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:565</div></div>
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<div class="ttc" id="structcutlass_1_1Coord_html_a9eff24a3b74b68d11839b92324613c93"><div class="ttname"><a href="structcutlass_1_1Coord.html#a9eff24a3b74b68d11839b92324613c93">cutlass::Coord::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index & at()</div><div class="ttdoc">Gets the index of a given Coord element. </div><div class="ttdef"><b>Definition:</b> coord.h:240</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a64a5e91e01555b8bfd22875543573d22"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a64a5e91e01555b8bfd22875543573d22">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::operator[]</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Storage & operator[](TensorCoord const &coord) const</div><div class="ttdoc">Returns a reference to the element at a given Coord. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:591</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a0753aeb57365a976bc0a88481af504cb"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a0753aeb57365a976bc0a88481af504cb">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::operator+=</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef & operator+=(TensorCoord const &b)</div><div class="ttdoc">Returns a TensorRef offset by a given amount. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:616</div></div>
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<div class="ttc" id="platform_8h_html_adde4c9ea91b753491851361a4198c009"><div class="ttname"><a href="platform_8h.html#adde4c9ea91b753491851361a4198c009">static_assert</a></div><div class="ttdeci">#define static_assert(__e, __m)</div><div class="ttdef"><b>Definition:</b> platform.h:153</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a4da903ecbeaaf80c35084e8779e920a1"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">cutlass::TensorRef::offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE LongIndex offset(TensorCoord const &coord) const</div><div class="ttdoc">Computes the offset of an index from the origin of the tensor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:331</div></div>
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<div class="ttc" id="structcutlass_1_1IdentityTensorMapFunc_html_a3922130841c34d3ce8c112ee6fae4ca1"><div class="ttname"><a href="structcutlass_1_1IdentityTensorMapFunc.html#a3922130841c34d3ce8c112ee6fae4ca1">cutlass::IdentityTensorMapFunc::operator()</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Coord< Rank > operator()(Coord< Rank > const &coord) const</div><div class="ttdef"><b>Definition:</b> tensor_ref.h:44</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a9ad2f8da5e7e6b616dd05f792032699b"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a9ad2f8da5e7e6b616dd05f792032699b">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::LongIndex</a></div><div class="ttdeci">LongIndex_ LongIndex</div><div class="ttdoc">Typically, strides in memory can be very large. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:430</div></div>
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<div class="ttc" id="structcutlass_1_1Coord_html"><div class="ttname"><a href="structcutlass_1_1Coord.html">cutlass::Coord</a></div><div class="ttdoc">Statically-sized array specifying Coords within a tensor. </div><div class="ttdef"><b>Definition:</b> coord.h:49</div></div>
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<div class="ttc" id="vector_8h_html"><div class="ttname"><a href="vector_8h.html">vector.h</a></div><div class="ttdoc">Defines a 1D vector of elements held in the registers of each thread. </div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a07c7f56e724cfbc844777e8ee9f616b5"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a07c7f56e724cfbc844777e8ee9f616b5">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE LongIndex offset(TensorCoord const &coord) const</div><div class="ttdoc">Computes the offset of an index from the origin of the tensor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:575</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a4169a1344897c2c87822ee49d5e0002f"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a4169a1344897c2c87822ee49d5e0002f">cutlass::TensorRef::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Storage & at(TensorCoord const &coord) const</div><div class="ttdoc">Returns a reference to the element at a given Coord. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:337</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a0a48de201c35cbc9d5e3b94fa597a617"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a0a48de201c35cbc9d5e3b94fa597a617">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::const_ref</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE ConstTensorRef const_ref() const</div><div class="ttdoc">Returns a reference to constant-valued tensor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:515</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_aa72857a51fafb4764ef338aea16ddfa3"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aa72857a51fafb4764ef338aea16ddfa3">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::Index</a></div><div class="ttdeci">Index_ Index</div><div class="ttdoc">Index type. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:427</div></div>
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<div class="ttc" id="structcutlass_1_1IdentityTensorMapFunc_html_ac609498e7fe858b4fb3791d1039438f4"><div class="ttname"><a href="structcutlass_1_1IdentityTensorMapFunc.html#ac609498e7fe858b4fb3791d1039438f4">cutlass::IdentityTensorMapFunc::kStorageRank</a></div><div class="ttdeci">static int const kStorageRank</div><div class="ttdef"><b>Definition:</b> tensor_ref.h:42</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a6ab468e38773f5a971a8428673fb5e47"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a6ab468e38773f5a971a8428673fb5e47">cutlass::TensorRef::const_ref</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE ConstTensorRef const_ref() const</div><div class="ttdoc">Returns a reference to constant-valued tensor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:262</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_a215f63b5a1b3799654c5670ef108fcfb"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#a215f63b5a1b3799654c5670ef108fcfb">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::map</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE StorageCoord map(TensorCoord const &coord) const</div><div class="ttdoc">Maps a logical coordinate to an n-D array in memory. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:569</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_aeca439296c8446741ba84b78f5a601e0"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#aeca439296c8446741ba84b78f5a601e0">cutlass::TensorRef::TensorRef</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef(Storage *ptr, StorageCoord const &stride)</div><div class="ttdef"><b>Definition:</b> tensor_ref.h:229</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_ac19ed34103d115d99e835ad9c1164a2f"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#ac19ed34103d115d99e835ad9c1164a2f">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::MapFunc</a></div><div class="ttdeci">MapFunc_ MapFunc</div><div class="ttdoc">Mapping function from logical coordinate to internal n-D array. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:421</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_afe4fc6fa539f36b2764707d50351905c"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#afe4fc6fa539f36b2764707d50351905c">cutlass::TensorRef::TensorRef</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef(Storage *ptr, StrideVector const &stride)</div><div class="ttdoc">Constructs from a single pointer and stride vector. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:222</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a07c4b1ace7c8799537553b54cfe0a059"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a07c4b1ace7c8799537553b54cfe0a059">cutlass::TensorRef::StrideVector</a></div><div class="ttdeci">Coord< kStorageRank - 1 > StrideVector</div><div class="ttdef"><b>Definition:</b> tensor_ref.h:159</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4_html_aeca2ec193d8a07dc9073c6b199215c88"><div class="ttname"><a href="classcutlass_1_1TensorRef_3_01Storage___00_01Rank___00_01MapFunc___00_011_00_01Index___00_01LongIndex___01_4.html#aeca2ec193d8a07dc9073c6b199215c88">cutlass::TensorRef< Storage_, Rank_, MapFunc_, 1, Index_, LongIndex_ >::TensorCoord</a></div><div class="ttdeci">Coord< kRank > TensorCoord</div><div class="ttdoc">Coordinate in logical tensor space. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:433</div></div>
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<div class="ttc" id="cutlass_8h_html"><div class="ttname"><a href="cutlass_8h.html">cutlass.h</a></div><div class="ttdoc">Basic include for CUTLASS macros. </div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a4a56b323aed2a3b2c843c276b68378fa"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a4a56b323aed2a3b2c843c276b68378fa">cutlass::TensorRef::operator-</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef operator-(TensorCoord const &b) const</div><div class="ttdoc">Returns a TensorRef offset by a given amount. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:379</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a2dbee889626b4764d30e9058ef3a7ae8"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a2dbee889626b4764d30e9058ef3a7ae8">cutlass::TensorRef::good</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE bool good() const</div><div class="ttdoc">Returns true if the TensorRef may be safely accessed. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:290</div></div>
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<div class="ttc" id="structcutlass_1_1IdentityTensorMapFunc_html"><div class="ttname"><a href="structcutlass_1_1IdentityTensorMapFunc.html">cutlass::IdentityTensorMapFunc</a></div><div class="ttdef"><b>Definition:</b> tensor_ref.h:41</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_aa60b92372db1da1d2aa997d6a03e01ca"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#aa60b92372db1da1d2aa997d6a03e01ca">cutlass::TensorRef::leading_dim</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index leading_dim(int idx=0) const</div><div class="ttdoc">Returns the maximum stride element as the &#39;leading dimension&#39;. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:321</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a5b5af26da32278d19c27c0d5a4a18890"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a5b5af26da32278d19c27c0d5a4a18890">cutlass::TensorRef::operator-=</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef & operator-=(TensorCoord const &b)</div><div class="ttdoc">Returns a TensorRef offset by a given amount. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:387</div></div>
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