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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 <typeinfo></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <<a class="code" href="coord_8h.html">cutlass/coord.h</a>></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <<a class="code" href="vector_8h.html">cutlass/vector.h</a>></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Storage_, <span class="keywordtype">int</span> Rank_></div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html"> 42</a></span> <span class="keyword">class </span><a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a604921388cb7ee18ddb8127b8ca2f7fd"> 45</a></span>  <span class="keyword">typedef</span> Storage_ <a class="code" href="classcutlass_1_1TensorRef.html#a604921388cb7ee18ddb8127b8ca2f7fd">Storage</a>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a22ac53a60e63a743613e732586ad0c66"> 48</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#a22ac53a60e63a743613e732586ad0c66">Rank</a> = Rank_;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="comment">//</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="comment">//</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classcutlass_1_1TensorRef.html#a604921388cb7ee18ddb8127b8ca2f7fd">Storage</a>* ptr_;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> stride_;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="comment">//</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="comment">//</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a54f6edc293b0b8ac97f02e8ab951c478"> 68</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#a54f6edc293b0b8ac97f02e8ab951c478">TensorRef</a>() : ptr_(<a class="code" href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a>) {}</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#ae48325312183ff61dbd312c64f31fcb8"> 72</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#ae48325312183ff61dbd312c64f31fcb8">TensorRef</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a604921388cb7ee18ddb8127b8ca2f7fd">Storage</a>* ptr, <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> <a class="code" href="classcutlass_1_1TensorRef.html#a89380141d25528c4c7ba6c365b96a878">stride</a>) : ptr_(ptr), stride_(<a class="code" href="classcutlass_1_1TensorRef.html#a89380141d25528c4c7ba6c365b96a878">stride</a>) {}</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00076"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#abefe392e81da2c09cb127f963ae90674"> 76</a></span>  <span class="keywordtype">void</span> <a class="code" href="classcutlass_1_1TensorRef.html#abefe392e81da2c09cb127f963ae90674">reset</a>(<a class="code" href="classcutlass_1_1TensorRef.html#a604921388cb7ee18ddb8127b8ca2f7fd">Storage</a>* ptr = <span class="keyword">nullptr</span>, <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> <a class="code" href="classcutlass_1_1TensorRef.html#a89380141d25528c4c7ba6c365b96a878">stride</a> = <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a>(0)) {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  ptr_ = ptr;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  stride_ = <a class="code" href="classcutlass_1_1TensorRef.html#a89380141d25528c4c7ba6c365b96a878">stride</a>;</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> T></div><div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a7eb4444e2b3fce5a5ccde65a75df633c"> 83</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<T, Rank></a> <a class="code" href="classcutlass_1_1TensorRef.html#a7eb4444e2b3fce5a5ccde65a75df633c">convert</a>() {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> converted_stride;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < <a class="code" href="classcutlass_1_1TensorRef.html#a22ac53a60e63a743613e732586ad0c66">Rank</a> - 1; ++i) {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  converted_stride[i] = stride_[i] * <a class="code" href="structcutlass_1_1Extent.html">Extent<Storage>::kValue</a> / <a class="code" href="structcutlass_1_1Extent.html">Extent<T>::kValue</a>;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  converted_stride[<a class="code" href="classcutlass_1_1TensorRef.html#a22ac53a60e63a743613e732586ad0c66">Rank</a> - 1] = stride_[<a class="code" href="classcutlass_1_1TensorRef.html#a22ac53a60e63a743613e732586ad0c66">Rank</a> - 1];</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef<T, Rank></a>(<span class="keyword">reinterpret_cast<</span>T*<span class="keyword">></span>(ptr_), converted_stride);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  }</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00095"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a0c049e523ee0fc98769ed8cd2d026780"> 95</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classcutlass_1_1TensorRef.html#a0c049e523ee0fc98769ed8cd2d026780">good</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> ptr_ != <span class="keyword">nullptr</span>; }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a8e23c78658f45c6f197a1774cc85c5b7"> 99</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#a604921388cb7ee18ddb8127b8ca2f7fd">Storage</a>* <a class="code" href="classcutlass_1_1TensorRef.html#a8e23c78658f45c6f197a1774cc85c5b7">data</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> ptr_; }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a89380141d25528c4c7ba6c365b96a878"> 103</a></span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> <span class="keyword">const</span>& <a class="code" href="classcutlass_1_1TensorRef.html#a89380141d25528c4c7ba6c365b96a878">stride</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> stride_; }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#af47f192552544272774a29d7a0829a31"> 107</a></span>  <span class="keywordtype">int</span> <span class="keyword">const</span>& <a class="code" href="classcutlass_1_1TensorRef.html#af47f192552544272774a29d7a0829a31">stride</a>(<span class="keywordtype">int</span> dim)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> stride_.<a class="code" href="structcutlass_1_1Coord.html#ad10b59430927a354fcd874d2d32f1bd8">at</a>(dim); }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a8e1c61910ffb49ec64930f66dd342b77"> 111</a></span>  <span class="keywordtype">int</span> <a class="code" href="classcutlass_1_1TensorRef.html#a8e1c61910ffb49ec64930f66dd342b77">leading_dim</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="platform_8h.html#abd31f291635329bc15292954f1f01d38">__NV_STD_MAX</a>(stride_[1], stride_[2]); }</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a02ee5d16ed4ce4705a99bb16b2ae1ae8"> 115</a></span>  <span class="keywordtype">long</span> <span class="keywordtype">long</span> <a class="code" href="classcutlass_1_1TensorRef.html#a02ee5d16ed4ce4705a99bb16b2ae1ae8">offset</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="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">return</span> stride_.template dot<long long>(coord);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  }</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a7eff42a37e4dbee488bfa726f3f0df4f"> 121</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#a604921388cb7ee18ddb8127b8ca2f7fd">Storage</a>& <a class="code" href="classcutlass_1_1TensorRef.html#a7eff42a37e4dbee488bfa726f3f0df4f">at</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> <span class="keyword">const</span>& coord)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> ptr_[<a class="code" href="classcutlass_1_1TensorRef.html#a02ee5d16ed4ce4705a99bb16b2ae1ae8">offset</a>(coord)]; }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a6a2aa88ed77557c089a165da0df1e974"> 124</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#a604921388cb7ee18ddb8127b8ca2f7fd">Storage</a>& <a class="code" href="classcutlass_1_1TensorRef.html#a6a2aa88ed77557c089a165da0df1e974">operator[]</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> <span class="keyword">const</span>& coord)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorRef.html#a7eff42a37e4dbee488bfa726f3f0df4f">at</a>(coord); }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00128"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a5702dea703104ab431c098c7b039c215"> 128</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#a604921388cb7ee18ddb8127b8ca2f7fd">Storage</a>& <a class="code" href="classcutlass_1_1TensorRef.html#a5702dea703104ab431c098c7b039c215">at</a>(<span class="keywordtype">int</span> idx)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> ptr_[idx]; }</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00131"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a34e97ab2190b4681d1c1199186d66f1c"> 131</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html#a604921388cb7ee18ddb8127b8ca2f7fd">Storage</a>& <a class="code" href="classcutlass_1_1TensorRef.html#a34e97ab2190b4681d1c1199186d66f1c">operator[]</a>(<span class="keywordtype">int</span> idx)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorRef.html#a7eff42a37e4dbee488bfa726f3f0df4f">at</a>(idx); }</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#aab0dafb81a462320e55e0dc4a5886478"> 135</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a>& <a class="code" href="classcutlass_1_1TensorRef.html#aab0dafb81a462320e55e0dc4a5886478">advance</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> <span class="keyword">const</span>& b) {</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  ptr_ += <a class="code" href="classcutlass_1_1TensorRef.html#a02ee5d16ed4ce4705a99bb16b2ae1ae8">offset</a>(b);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  }</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#aa7b80d225c01c9dc12aafc515cf15842"> 142</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> <a class="code" href="classcutlass_1_1TensorRef.html#aa7b80d225c01c9dc12aafc515cf15842">operator+</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> <span class="keyword">const</span>& b)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorRef.html#a54f6edc293b0b8ac97f02e8ab951c478">TensorRef</a>(ptr_ + <a class="code" href="classcutlass_1_1TensorRef.html#a02ee5d16ed4ce4705a99bb16b2ae1ae8">offset</a>(b), stride_); }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a></div><div class="line"><a name="l00146"></a><span class="lineno"><a class="line" href="classcutlass_1_1TensorRef.html#a3843ccfd1d097f25eff45dc159709938"> 146</a></span>  <a class="code" href="classcutlass_1_1TensorRef.html">TensorRef</a> <a class="code" href="classcutlass_1_1TensorRef.html#a3843ccfd1d097f25eff45dc159709938">operator-</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> <span class="keyword">const</span>& b)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1TensorRef.html#a54f6edc293b0b8ac97f02e8ab951c478">TensorRef</a>(ptr_ - <a class="code" href="classcutlass_1_1TensorRef.html#a02ee5d16ed4ce4705a99bb16b2ae1ae8">offset</a>(b), stride_); }</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> };</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> </div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="classcutlass_1_1TensorRef_html_af47f192552544272774a29d7a0829a31"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#af47f192552544272774a29d7a0829a31">cutlass::TensorRef::stride</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE int const & 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:107</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a34e97ab2190b4681d1c1199186d66f1c"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a34e97ab2190b4681d1c1199186d66f1c">cutlass::TensorRef::operator[]</a></div><div class="ttdeci">Storage & operator[](int idx) const</div><div class="ttdoc">Element-wise accessor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:131</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_html_a7eff42a37e4dbee488bfa726f3f0df4f"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a7eff42a37e4dbee488bfa726f3f0df4f">cutlass::TensorRef::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Storage & at(Coord< Rank > 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:121</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_aab0dafb81a462320e55e0dc4a5886478"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#aab0dafb81a462320e55e0dc4a5886478">cutlass::TensorRef::advance</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef & advance(Coord< Rank > const &b)</div><div class="ttdoc">Adds an offset to the pointer. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:135</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a22ac53a60e63a743613e732586ad0c66"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a22ac53a60e63a743613e732586ad0c66">cutlass::TensorRef::Rank</a></div><div class="ttdeci">static int const Rank</div><div class="ttdoc">Rank of tensor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:48</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_aa7b80d225c01c9dc12aafc515cf15842"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#aa7b80d225c01c9dc12aafc515cf15842">cutlass::TensorRef::operator+</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef operator+(Coord< Rank > 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:142</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_a604921388cb7ee18ddb8127b8ca2f7fd"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a604921388cb7ee18ddb8127b8ca2f7fd">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:45</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a3843ccfd1d097f25eff45dc159709938"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a3843ccfd1d097f25eff45dc159709938">cutlass::TensorRef::operator-</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef operator-(Coord< Rank > 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:146</div></div>
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<div class="ttc" id="platform_8h_html_abd31f291635329bc15292954f1f01d38"><div class="ttname"><a href="platform_8h.html#abd31f291635329bc15292954f1f01d38">__NV_STD_MAX</a></div><div class="ttdeci">#define __NV_STD_MAX(a, b)</div><div class="ttdoc">Select maximum(a, b) </div><div class="ttdef"><b>Definition:</b> platform.h:155</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a8e1c61910ffb49ec64930f66dd342b77"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a8e1c61910ffb49ec64930f66dd342b77">cutlass::TensorRef::leading_dim</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE int leading_dim() 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:111</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a8e23c78658f45c6f197a1774cc85c5b7"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a8e23c78658f45c6f197a1774cc85c5b7">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:99</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_ae48325312183ff61dbd312c64f31fcb8"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#ae48325312183ff61dbd312c64f31fcb8">cutlass::TensorRef::TensorRef</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef(Storage *ptr, Coord< Rank > stride)</div><div class="ttdoc">Constructs from a pointer, size, and stride. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:72</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a6a2aa88ed77557c089a165da0df1e974"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a6a2aa88ed77557c089a165da0df1e974">cutlass::TensorRef::operator[]</a></div><div class="ttdeci">Storage & operator[](Coord< Rank > const &coord) const</div><div class="ttdoc">Element-wise accessor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:124</div></div>
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<div class="ttc" id="platform_8h_html_ab979d9d4b4923f7c54d6caa6e1a61936"><div class="ttname"><a href="platform_8h.html#ab979d9d4b4923f7c54d6caa6e1a61936">nullptr</a></div><div class="ttdeci">#define nullptr</div><div class="ttdoc">nullptr </div><div class="ttdef"><b>Definition:</b> platform.h:136</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a02ee5d16ed4ce4705a99bb16b2ae1ae8"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a02ee5d16ed4ce4705a99bb16b2ae1ae8">cutlass::TensorRef::offset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE long long offset(Coord< Rank > 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:115</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="ttdoc">Structure modeling a pointer and stride into a tensor. </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_a7eb4444e2b3fce5a5ccde65a75df633c"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a7eb4444e2b3fce5a5ccde65a75df633c">cutlass::TensorRef::convert</a></div><div class="ttdeci">TensorRef< T, Rank > convert()</div><div class="ttdoc">Conversion function. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:83</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_html_a0c049e523ee0fc98769ed8cd2d026780"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a0c049e523ee0fc98769ed8cd2d026780">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:95</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< Rank ></a></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_html_abefe392e81da2c09cb127f963ae90674"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#abefe392e81da2c09cb127f963ae90674">cutlass::TensorRef::reset</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE void reset(Storage *ptr=nullptr, Coord< Rank > stride=Coord< Rank >(0))</div><div class="ttdoc">Updates the pointer, stride, and location within a TensorRef. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:76</div></div>
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<div class="ttc" id="structcutlass_1_1Coord_html_ad10b59430927a354fcd874d2d32f1bd8"><div class="ttname"><a href="structcutlass_1_1Coord.html#ad10b59430927a354fcd874d2d32f1bd8">cutlass::Coord::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE int & at()</div><div class="ttdoc">Gets the index of a given Coord element. </div><div class="ttdef"><b>Definition:</b> coord.h:185</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a89380141d25528c4c7ba6c365b96a878"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a89380141d25528c4c7ba6c365b96a878">cutlass::TensorRef::stride</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Coord< Rank > const & stride() const</div><div class="ttdoc">Returns the stride of the tensor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:103</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_a5702dea703104ab431c098c7b039c215"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a5702dea703104ab431c098c7b039c215">cutlass::TensorRef::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Storage & at(int idx) 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:128</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a54f6edc293b0b8ac97f02e8ab951c478"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a54f6edc293b0b8ac97f02e8ab951c478">cutlass::TensorRef::TensorRef</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorRef()</div><div class="ttdoc">Default ctor. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:68</div></div>
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<div class="ttc" id="structcutlass_1_1Extent_html"><div class="ttname"><a href="structcutlass_1_1Extent.html">cutlass::Extent</a></div><div class="ttdoc">Returns the extent of a scalar or vector. </div><div class="ttdef"><b>Definition:</b> vector.h:161</div></div>
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