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<a href="tensor__view_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="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include <cmath></span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="tensor__ref_8h.html">cutlass/tensor_ref.h</a>"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">typename</span> Storage_,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordtype">int</span> Rank_ = 4,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">typename</span> MapFunc_ = IdentityTensorMapFunc<Rank_>,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">int</span> StorageRank_ = MapFunc_::kStorageRank,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keyword">typename</span> Index_ = int,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">typename</span> LongIndex_ = <span class="keywordtype">long</span> <span class="keywordtype">long</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> ></div><div class="line"><a name="l00063"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html"> 63</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> : <span class="keyword">public</span> <a class="code" href="classcutlass_1_1TensorView.html#af0237fca8d8df1cf4f17d9cb43eae507">TensorRef</a><Storage_, Rank_, MapFunc_, StorageRank_, Index_, LongIndex_> {</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a2d0d8ed1c19485318e84db99b8b4e9e6"> 66</a></span>  <span class="keyword">typedef</span> <a class="code" href="classcutlass_1_1TensorView.html#af0237fca8d8df1cf4f17d9cb43eae507">TensorRef<Storage_, Rank_, MapFunc_, StorageRank_, Index_, LongIndex_></a> <a class="code" href="classcutlass_1_1TensorView.html#a2d0d8ed1c19485318e84db99b8b4e9e6">Base</a>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">typedef</span> <a class="code" href="classcutlass_1_1TensorView.html#af0237fca8d8df1cf4f17d9cb43eae507">TensorRef</a><</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</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="l00071"></a><span class="lineno"> 71</span>  Rank_,</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  MapFunc_,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  StorageRank_,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  Index_,</div><div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a3861f7f09da0b8153d0e3686f2c7cf57"> 75</a></span>  LongIndex_> <a class="code" href="classcutlass_1_1TensorView.html#a3861f7f09da0b8153d0e3686f2c7cf57">ConstTensorRef</a>;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#af0237fca8d8df1cf4f17d9cb43eae507"> 78</a></span>  <span class="keyword">typedef</span> <a class="code" href="classcutlass_1_1TensorView.html#a2d0d8ed1c19485318e84db99b8b4e9e6">Base</a> <a class="code" href="classcutlass_1_1TensorView.html#af0237fca8d8df1cf4f17d9cb43eae507">TensorRef</a>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a52fb77744c7c7ecf0f8a3a725556293d"> 81</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Base::Storage <a class="code" href="classcutlass_1_1TensorView.html#a52fb77744c7c7ecf0f8a3a725556293d">Storage</a>;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a5a3f096a01e6a2dfe984d7e605380599"> 84</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Base::Index <a class="code" href="classcutlass_1_1TensorView.html#a5a3f096a01e6a2dfe984d7e605380599">Index</a>;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#ada8a241b6b2c5439183b0d6c456c934e"> 87</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1Coord.html">TensorRef::TensorCoord</a> <a class="code" href="classcutlass_1_1TensorView.html#ada8a241b6b2c5439183b0d6c456c934e">TensorCoord</a>;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#abaf7ec0e96bc99cf0ce243e703b8711c"> 90</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1Coord.html">TensorRef::StorageCoord</a> <a class="code" href="classcutlass_1_1TensorView.html#abaf7ec0e96bc99cf0ce243e703b8711c">StorageCoord</a>;</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a625892aa9063eebf769bb2ed0cba7684"> 94</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1Coord.html">TensorRef::StrideVector</a> <a class="code" href="classcutlass_1_1TensorView.html#a625892aa9063eebf769bb2ed0cba7684">StrideVector</a>;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">typedef</span> <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a><</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</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="l00099"></a><span class="lineno"> 99</span>  Rank_,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  MapFunc_,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  StorageRank_,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  Index_,</div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#ab879a7b6552c879a81c49cbc0946d719"> 103</a></span>  LongIndex_> <a class="code" href="classcutlass_1_1TensorView.html#ab879a7b6552c879a81c49cbc0946d719">ConstTensorView</a>;</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">//</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="comment">// Definitions included for backwards compatibility - to be removed in next major release</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> </div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#ab16a0244199ca2800ea5460ed8ed6ae2"> 110</a></span>  <span class="keyword">typedef</span> <a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <a class="code" href="classcutlass_1_1TensorView.html#ab16a0244199ca2800ea5460ed8ed6ae2">Coord_t</a>;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a8dbb7043546fae133547d2c3e46dddab"> 113</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="classcutlass_1_1TensorView.html#a8dbb7043546fae133547d2c3e46dddab">Rank</a> = Base::kRank;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a408d9a8026115bdaf70a37c86dc720b1"> 116</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> Base::LongIndex <a class="code" href="classcutlass_1_1TensorView.html#a408d9a8026115bdaf70a37c86dc720b1">Offset_t</a>;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00119"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a25eb8c0fe380114ddaabb37453be4606"> 119</a></span>  <span class="keyword">typedef</span> <a class="code" href="classcutlass_1_1TensorView.html#af0237fca8d8df1cf4f17d9cb43eae507">TensorRef</a> <a class="code" href="classcutlass_1_1TensorView.html#a25eb8c0fe380114ddaabb37453be4606">TensorRef_t</a>;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00122"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a162c4cb4f4e866892d63cd37f7f72165"> 122</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef::ConstTensorRef</a> <a class="code" href="classcutlass_1_1TensorView.html#a162c4cb4f4e866892d63cd37f7f72165">ConstTensorRef_t</a>;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">//</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">//</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> size_;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="comment">//</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="comment">// Device and Host Methods</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="comment">//</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a36d48227f65ad482a7bded99d6a3d0c1"> 139</a></span>  <a class="code" href="classcutlass_1_1TensorView.html#a36d48227f65ad482a7bded99d6a3d0c1">TensorView</a>() {}</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#aad06edac0f43c358c5644dffb5fe9ad7"> 143</a></span>  <a class="code" href="classcutlass_1_1TensorView.html#aad06edac0f43c358c5644dffb5fe9ad7">TensorView</a>(<a class="code" href="classcutlass_1_1TensorView.html#a2d0d8ed1c19485318e84db99b8b4e9e6">Base</a> <span class="keyword">const</span>& _ref, <a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& _size) : <a class="code" href="classcutlass_1_1TensorView.html#a2d0d8ed1c19485318e84db99b8b4e9e6">Base</a>(_ref), size_(_size) {}</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a73f049694ca1ea4825b5a651852827f5"> 147</a></span>  <a class="code" href="classcutlass_1_1TensorView.html#a73f049694ca1ea4825b5a651852827f5">TensorView</a>(</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a> *ptr,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <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>,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& <a class="code" href="classcutlass_1_1TensorView.html#ad116076aa4ec7dc2d4b23b62e5dfbb7a">size</a></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  ):</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="classcutlass_1_1TensorView.html#a2d0d8ed1c19485318e84db99b8b4e9e6">Base</a>(ptr, <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>), size_(<a class="code" href="classcutlass_1_1TensorView.html#ad116076aa4ec7dc2d4b23b62e5dfbb7a">size</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"> 155</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#af64d4195fd6ba2cba53179e1ae678737"> 156</a></span>  <a class="code" href="classcutlass_1_1TensorView.html#af64d4195fd6ba2cba53179e1ae678737">TensorView</a>(</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classcutlass_1_1TensorRef.html#ad327edfe1f8085632ff682d354922009">Storage</a> *ptr,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <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="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& <a class="code" href="classcutlass_1_1TensorView.html#ad116076aa4ec7dc2d4b23b62e5dfbb7a">size</a></div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  ):</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="classcutlass_1_1TensorView.html#a2d0d8ed1c19485318e84db99b8b4e9e6">Base</a>(ptr, <a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>), size_(<a class="code" href="classcutlass_1_1TensorView.html#ad116076aa4ec7dc2d4b23b62e5dfbb7a">size</a>) {}</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00165"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#ae142eb93cf91e000b635d32fcacf1db3"> 165</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1TensorView.html#ae142eb93cf91e000b635d32fcacf1db3">reset</a>(<a class="code" href="classcutlass_1_1TensorView.html#a2d0d8ed1c19485318e84db99b8b4e9e6">Base</a> <span class="keyword">const</span>& _ref = <a class="code" href="classcutlass_1_1TensorView.html#a2d0d8ed1c19485318e84db99b8b4e9e6">Base</a>(), <a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& _size = <a class="code" href="classcutlass_1_1TensorView.html#ada8a241b6b2c5439183b0d6c456c934e">TensorCoord</a>()) {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  Base::operator=(_ref);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  size_ = _size;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#ad116076aa4ec7dc2d4b23b62e5dfbb7a"> 172</a></span>  <a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& <a class="code" href="classcutlass_1_1TensorView.html#ad116076aa4ec7dc2d4b23b62e5dfbb7a">size</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> size_; }</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span> </div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00176"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a3778dc1c62a27ed811f1bb82a420096e"> 176</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#a2beda7a1946bde2858e730bece21b890">Index</a> <a class="code" href="classcutlass_1_1TensorView.html#a3778dc1c62a27ed811f1bb82a420096e">size</a>(<span class="keywordtype">int</span> dim)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> size_.<a class="code" href="structcutlass_1_1Coord.html#a9eff24a3b74b68d11839b92324613c93">at</a>(dim); }</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#acf0c156efb9197bc7538f7e9057d8a68"> 180</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a>& <a class="code" href="classcutlass_1_1TensorView.html#acf0c156efb9197bc7538f7e9057d8a68">operator=</a>(<a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <span class="keyword">const</span>& _tensor) {</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  Base::operator=(_tensor);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  size_ = _tensor.size_;</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  }</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a3f448bcf6e664c244f472e2659215628"> 188</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classcutlass_1_1TensorView.html#a3f448bcf6e664c244f472e2659215628">contains</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="l00189"></a><span class="lineno"> 189</span>  <a class="code" href="performance__tuning_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> dim = 0; dim < Rank_; ++dim) {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">if</span> (coord[dim] >= size_[dim]) {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  }</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  }</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a7e2beb56a3bc2d58c9ec65467b78c4f3"> 200</a></span>  <a class="code" href="classcutlass_1_1TensorView.html#af0237fca8d8df1cf4f17d9cb43eae507">TensorRef</a> <a class="code" href="classcutlass_1_1TensorView.html#a7e2beb56a3bc2d58c9ec65467b78c4f3">ref</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorView.html#af0237fca8d8df1cf4f17d9cb43eae507">TensorRef</a>(*<span class="keyword">this</span>);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  }</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00206"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a559f7210b445c77a167ab1f41c8d0827"> 206</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">ConstTensorRef</a> <a class="code" href="classcutlass_1_1TensorView.html#a559f7210b445c77a167ab1f41c8d0827">const_ref</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorView.html#a3861f7f09da0b8153d0e3686f2c7cf57">ConstTensorRef</a>(*<span class="keyword">this</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>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00212"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#ad4b3faa318699b786f94cf8735a11dbb"> 212</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <a class="code" href="classcutlass_1_1TensorView.html#ad4b3faa318699b786f94cf8735a11dbb">subview</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& location, <a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <a class="code" href="classcutlass_1_1TensorView.html#ad116076aa4ec7dc2d4b23b62e5dfbb7a">size</a>)<span class="keyword"> const </span>{</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorView.html#a36d48227f65ad482a7bded99d6a3d0c1">TensorView</a>((*<span class="keyword">this</span>) + location, <a class="code" href="classcutlass_1_1TensorView.html#ad116076aa4ec7dc2d4b23b62e5dfbb7a">size</a>.<a class="code" href="structcutlass_1_1Coord.html#a404a3b4e00f59cac71d41fb1bbba38ba">clamp</a>(size_ - location));</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  }</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00218"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#ad870c366ffe904d3363df1dfb0d5f04c"> 218</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classcutlass_1_1TensorView.html#ad870c366ffe904d3363df1dfb0d5f04c">capacity</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordtype">int</span> max_rank = 0;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="structcutlass_1_1Coord.html">StorageCoord</a> mapped_size(this-><a class="code" href="classcutlass_1_1TensorRef.html#a07dfe328d4a8316e79e9acde50582360">map</a>(<a class="code" href="classcutlass_1_1TensorView.html#ad116076aa4ec7dc2d4b23b62e5dfbb7a">size</a>()));</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="performance__tuning_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < Base::kStorageRank; ++i) {</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">if</span> (!i ||</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  this-><a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>(i) * mapped_size[i] > this-><a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>(max_rank) * mapped_size[max_rank]) {</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  max_rank = i;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  }</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  }</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">return</span> this-><a class="code" href="classcutlass_1_1TensorRef.html#adb52dd6f9f68e7b8b67b8ddfb5c0021c">stride</a>(max_rank) * mapped_size[max_rank];</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  }</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00235"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#aa2390d8e127a51df239affd2ca36e97a"> 235</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <a class="code" href="classcutlass_1_1TensorView.html#aa2390d8e127a51df239affd2ca36e97a">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="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> result(*<span class="keyword">this</span>);</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  result.<a class="code" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">add_pointer_offset</a>(this-><a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(b));</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  }</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00243"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a4fa8fa35d00eb4d0097da492c738cddc"> 243</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a>& <a class="code" href="classcutlass_1_1TensorView.html#a4fa8fa35d00eb4d0097da492c738cddc">operator+=</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& b) {</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  this-><a class="code" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">add_pointer_offset</a>(this-><a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(b));</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  }</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00250"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#a1e4b2bb02c5843898f72f62787403add"> 250</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <a class="code" href="classcutlass_1_1TensorView.html#a1e4b2bb02c5843898f72f62787403add">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="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="classcutlass_1_1TensorView.html#af0237fca8d8df1cf4f17d9cb43eae507">TensorRef</a> result(*<span class="keyword">this</span>);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  result.add_pointer_offset(-this-><a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(b));</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00258"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorView.html#abc088fad6debb6a0ceb04c5d2767e81b"> 258</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a>& <a class="code" href="classcutlass_1_1TensorView.html#abc088fad6debb6a0ceb04c5d2767e81b">operator-=</a>(<a class="code" href="structcutlass_1_1Coord.html">TensorCoord</a> <span class="keyword">const</span>& b) {</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  this-><a class="code" href="classcutlass_1_1TensorRef.html#a5f0363da1e0544f256438e066d3cc143">add_pointer_offset</a>(-this-><a class="code" href="classcutlass_1_1TensorRef.html#a4da903ecbeaaf80c35084e8779e920a1">offset</a>(b));</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  }</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> };</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="classcutlass_1_1TensorView_html_a5a3f096a01e6a2dfe984d7e605380599"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a5a3f096a01e6a2dfe984d7e605380599">cutlass::TensorView::Index</a></div><div class="ttdeci">Base::Index Index</div><div class="ttdoc">Index type. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:84</div></div>
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<div class="ttc" id="performance__tuning_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="performance__tuning_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> performance_tuning.h:35</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_1TensorView_html_ae142eb93cf91e000b635d32fcacf1db3"><div class="ttname"><a href="classcutlass_1_1TensorView.html#ae142eb93cf91e000b635d32fcacf1db3">cutlass::TensorView::reset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void reset(Base const &_ref=Base(), TensorCoord const &_size=TensorCoord())</div><div class="ttdoc">Updates the reference and size of a Tensor_view object. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:165</div></div>
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<div class="ttc" id="tensor__ref_8h_html"><div class="ttname"><a href="tensor__ref_8h.html">tensor_ref.h</a></div><div class="ttdoc">Defines a structure containing strides, bounds, and a pointer to tensor data. </div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_af64d4195fd6ba2cba53179e1ae678737"><div class="ttname"><a href="classcutlass_1_1TensorView.html#af64d4195fd6ba2cba53179e1ae678737">cutlass::TensorView::TensorView</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorView(Storage *ptr, StorageCoord const &stride, TensorCoord const &size)</div><div class="ttdoc">Constructs a TensorView from a pointer, a stride vector, and size. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:156</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_1TensorView_html_a25eb8c0fe380114ddaabb37453be4606"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a25eb8c0fe380114ddaabb37453be4606">cutlass::TensorView::TensorRef_t</a></div><div class="ttdeci">TensorRef TensorRef_t</div><div class="ttdoc">Base class. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:119</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a3778dc1c62a27ed811f1bb82a420096e"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a3778dc1c62a27ed811f1bb82a420096e">cutlass::TensorView::size</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Index size(int dim) const</div><div class="ttdoc">Accesses the size. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:176</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a52fb77744c7c7ecf0f8a3a725556293d"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a52fb77744c7c7ecf0f8a3a725556293d">cutlass::TensorView::Storage</a></div><div class="ttdeci">Base::Storage Storage</div><div class="ttdoc">Storage type. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:81</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_af0237fca8d8df1cf4f17d9cb43eae507"><div class="ttname"><a href="classcutlass_1_1TensorView.html#af0237fca8d8df1cf4f17d9cb43eae507">cutlass::TensorView::TensorRef</a></div><div class="ttdeci">Base TensorRef</div><div class="ttdoc">Base tensor reference. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:78</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_ab879a7b6552c879a81c49cbc0946d719"><div class="ttname"><a href="classcutlass_1_1TensorView.html#ab879a7b6552c879a81c49cbc0946d719">cutlass::TensorView::ConstTensorView</a></div><div class="ttdeci">TensorView< typename platform::remove_const< Storage >::type const, Rank_, MapFunc_, StorageRank_, Index_, LongIndex_ > ConstTensorView</div><div class="ttdoc">TensorView of constant value. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:103</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_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_1TensorView_html_ad116076aa4ec7dc2d4b23b62e5dfbb7a"><div class="ttname"><a href="classcutlass_1_1TensorView.html#ad116076aa4ec7dc2d4b23b62e5dfbb7a">cutlass::TensorView::size</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorCoord const & size() const</div><div class="ttdoc">Accesses the size. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:172</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_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_1TensorView_html_a3861f7f09da0b8153d0e3686f2c7cf57"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a3861f7f09da0b8153d0e3686f2c7cf57">cutlass::TensorView::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_view.h:75</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_abc088fad6debb6a0ceb04c5d2767e81b"><div class="ttname"><a href="classcutlass_1_1TensorView.html#abc088fad6debb6a0ceb04c5d2767e81b">cutlass::TensorView::operator-=</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorView & operator-=(TensorCoord const &b)</div><div class="ttdoc">Returns a TensorRef offset by a given amount. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:258</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_1TensorView_html"><div class="ttname"><a href="classcutlass_1_1TensorView.html">cutlass::TensorView</a></div><div class="ttdoc">Defines a view into a logical tensor. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:63</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_aad06edac0f43c358c5644dffb5fe9ad7"><div class="ttname"><a href="classcutlass_1_1TensorView.html#aad06edac0f43c358c5644dffb5fe9ad7">cutlass::TensorView::TensorView</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorView(Base const &_ref, TensorCoord const &_size)</div><div class="ttdoc">Constructs a TensorView from a TensorRef and size. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:143</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a2d0d8ed1c19485318e84db99b8b4e9e6"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a2d0d8ed1c19485318e84db99b8b4e9e6">cutlass::TensorView::Base</a></div><div class="ttdeci">TensorRef< Storage_, Rank_, MapFunc_, StorageRank_, Index_, LongIndex_ > Base</div><div class="ttdoc">Base tensor reference. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:66</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_1TensorView_html_acf0c156efb9197bc7538f7e9057d8a68"><div class="ttname"><a href="classcutlass_1_1TensorView.html#acf0c156efb9197bc7538f7e9057d8a68">cutlass::TensorView::operator=</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorView & operator=(TensorView const &_tensor)</div><div class="ttdoc">Assigns the Tensor_view. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:180</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_ad870c366ffe904d3363df1dfb0d5f04c"><div class="ttname"><a href="classcutlass_1_1TensorView.html#ad870c366ffe904d3363df1dfb0d5f04c">cutlass::TensorView::capacity</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE size_t capacity() const</div><div class="ttdoc">Returns the number of scalar elements needed to store tensor. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:218</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="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_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="classcutlass_1_1TensorView_html_ada8a241b6b2c5439183b0d6c456c934e"><div class="ttname"><a href="classcutlass_1_1TensorView.html#ada8a241b6b2c5439183b0d6c456c934e">cutlass::TensorView::TensorCoord</a></div><div class="ttdeci">TensorRef::TensorCoord TensorCoord</div><div class="ttdoc">Coordinate in logical tensor space. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:87</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a408d9a8026115bdaf70a37c86dc720b1"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a408d9a8026115bdaf70a37c86dc720b1">cutlass::TensorView::Offset_t</a></div><div class="ttdeci">Base::LongIndex Offset_t</div><div class="ttdoc">Type used to compute the offset of an element to the base of a tensor. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:116</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_ab16a0244199ca2800ea5460ed8ed6ae2"><div class="ttname"><a href="classcutlass_1_1TensorView.html#ab16a0244199ca2800ea5460ed8ed6ae2">cutlass::TensorView::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_view.h:110</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_ad4b3faa318699b786f94cf8735a11dbb"><div class="ttname"><a href="classcutlass_1_1TensorView.html#ad4b3faa318699b786f94cf8735a11dbb">cutlass::TensorView::subview</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorView subview(TensorCoord const &location, TensorCoord size) const</div><div class="ttdoc">Returns a Tensor_view given location and size quantities. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:212</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a7e2beb56a3bc2d58c9ec65467b78c4f3"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a7e2beb56a3bc2d58c9ec65467b78c4f3">cutlass::TensorView::ref</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef ref() const</div><div class="ttdoc">Returns a TensorRef pointing to the first element of the tensor. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:200</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="classcutlass_1_1TensorView_html_a8dbb7043546fae133547d2c3e46dddab"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a8dbb7043546fae133547d2c3e46dddab">cutlass::TensorView::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_view.h:113</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a4fa8fa35d00eb4d0097da492c738cddc"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a4fa8fa35d00eb4d0097da492c738cddc">cutlass::TensorView::operator+=</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorView & operator+=(TensorCoord const &b)</div><div class="ttdoc">Returns a TensorRef offset by a given amount. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:243</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a559f7210b445c77a167ab1f41c8d0827"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a559f7210b445c77a167ab1f41c8d0827">cutlass::TensorView::const_ref</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE ConstTensorRef const_ref() const</div><div class="ttdoc">Returns a TensorRef pointing to the first element of the tensor. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:206</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a625892aa9063eebf769bb2ed0cba7684"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a625892aa9063eebf769bb2ed0cba7684">cutlass::TensorView::StrideVector</a></div><div class="ttdeci">TensorRef::StrideVector StrideVector</div><div class="ttdef"><b>Definition:</b> tensor_view.h:94</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a1e4b2bb02c5843898f72f62787403add"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a1e4b2bb02c5843898f72f62787403add">cutlass::TensorView::operator-</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorView 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_view.h:250</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a36d48227f65ad482a7bded99d6a3d0c1"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a36d48227f65ad482a7bded99d6a3d0c1">cutlass::TensorView::TensorView</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorView()</div><div class="ttdoc">Default constructor. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:139</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a73f049694ca1ea4825b5a651852827f5"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a73f049694ca1ea4825b5a651852827f5">cutlass::TensorView::TensorView</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorView(Storage *ptr, StrideVector const &stride, TensorCoord const &size)</div><div class="ttdoc">Constructs a TensorView from a pointer, a stride vector, and size. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:147</div></div>
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<div class="ttc" id="structcutlass_1_1Coord_html_a404a3b4e00f59cac71d41fb1bbba38ba"><div class="ttname"><a href="structcutlass_1_1Coord.html#a404a3b4e00f59cac71d41fb1bbba38ba">cutlass::Coord::clamp</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Coord & clamp(Coord< kRank > const &max, Coord< kRank > const &min=Coord< kRank >())</div><div class="ttdoc">Clamps a coordinate to a range specified by maximum and minimum values. </div><div class="ttdef"><b>Definition:</b> coord.h:274</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_aa2390d8e127a51df239affd2ca36e97a"><div class="ttname"><a href="classcutlass_1_1TensorView.html#aa2390d8e127a51df239affd2ca36e97a">cutlass::TensorView::operator+</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorView operator+(TensorCoord const &b) const</div><div class="ttdoc">Returns a TensorView offset by a given amount. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:235</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a162c4cb4f4e866892d63cd37f7f72165"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a162c4cb4f4e866892d63cd37f7f72165">cutlass::TensorView::ConstTensorRef_t</a></div><div class="ttdeci">TensorRef::ConstTensorRef ConstTensorRef_t</div><div class="ttdoc">TensorRef to const-valued type. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:122</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_1TensorView_html_abaf7ec0e96bc99cf0ce243e703b8711c"><div class="ttname"><a href="classcutlass_1_1TensorView.html#abaf7ec0e96bc99cf0ce243e703b8711c">cutlass::TensorView::StorageCoord</a></div><div class="ttdeci">TensorRef::StorageCoord StorageCoord</div><div class="ttdoc">Coordinate in storage n-D array. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:90</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a3f448bcf6e664c244f472e2659215628"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a3f448bcf6e664c244f472e2659215628">cutlass::TensorView::contains</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE bool contains(TensorCoord const &coord) const</div><div class="ttdoc">Determines whether a location is within a tensor. </div><div class="ttdef"><b>Definition:</b> tensor_view.h:188</div></div>
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