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<a href="host_2tensor__foreach_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/***************************************************************************************************</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * Redistribution and use in source and binary forms, with or without modification, are permitted</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> * provided that the following conditions are met:</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * * Redistributions of source code must retain the above copyright notice, this list of</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * conditions and the following disclaimer.</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * * Redistributions in binary form must reproduce the above copyright notice, this list of</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * conditions and the following disclaimer in the documentation and/or other materials</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * provided with the distribution.</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * to endorse or promote products derived from this software without specific prior written</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * permission.</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> *</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> *</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> **************************************************************************************************/</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <stdexcept></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</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="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span>reference {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">namespace </span>host {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">namespace </span>detail {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Func, <span class="keywordtype">int</span> Rank, <span class="keywordtype">int</span> RankRemaining></div><div class="line"><a name="l00041"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html"> 41</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html">TensorForEachHelper</a> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html#a1161a761c596e714982fe30141211cca"> 44</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html#a1161a761c596e714982fe30141211cca">kActiveRank</a> = Rank - RankRemaining - 1;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00047"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html#aa63906bbecfe42eec1991c9176f066d9"> 47</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html#aa63906bbecfe42eec1991c9176f066d9">TensorForEachHelper</a>(</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  Func &func,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> <span class="keyword">const</span> &extent,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> &coord) {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < extent.<a class="code" href="structcutlass_1_1Coord.html#a8a65128c86b236cd2bea875b85a34bc1">at</a>(kActiveRank); ++i) {</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  coord[<a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html#a1161a761c596e714982fe30141211cca">kActiveRank</a>] = i;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html">TensorForEachHelper</a><Func, Rank, RankRemaining - 1>(func, extent, coord);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> };</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Func, <span class="keywordtype">int</span> Rank></div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper_3_01Func_00_01Rank_00_010_01_4.html"> 61</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html">TensorForEachHelper</a><Func, Rank, 0> {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper_3_01Func_00_01Rank_00_010_01_4.html#ac558396615146aba17f12df92757a8ea"> 64</a></span>  <span class="keyword">static</span> <span class="keywordtype">int</span> <span class="keyword">const</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html#a1161a761c596e714982fe30141211cca">kActiveRank</a> = Rank - 1;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper_3_01Func_00_01Rank_00_010_01_4.html#a5029a4405a9a5e64011addb43bb88120"> 67</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper_3_01Func_00_01Rank_00_010_01_4.html#a5029a4405a9a5e64011addb43bb88120">TensorForEachHelper</a>(</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  Func &func,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> <span class="keyword">const</span> &extent,</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> &coord) {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < extent.<a class="code" href="structcutlass_1_1Coord.html#a8a65128c86b236cd2bea875b85a34bc1">at</a>(kActiveRank); ++i) {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  coord[<a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html#a1161a761c596e714982fe30141211cca">kActiveRank</a>] = i;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  func(coord);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  }</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> };</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> } <span class="comment">// namespace detail</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> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">typename</span> Func, </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">int</span> Rank> </div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d"> 87</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">TensorForEach</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> extent, Func & func) {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> coord;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html">detail::TensorForEachHelper</a><Func, Rank, Rank - 1>(func, extent, coord);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> }</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">typename</span> Func, </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">int</span> Rank> </div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a3825b1aaaf5e5abf0de5f427e3481ada"> 98</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a3825b1aaaf5e5abf0de5f427e3481ada">TensorForEachLambda</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> extent, Func func) {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Rank></a> coord;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html">detail::TensorForEachHelper</a><Func, Rank, Rank - 1>(func, extent, coord);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> }</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </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="keyword">template</span> <<span class="keyword">typename</span> Element, <span class="keyword">typename</span> Func></div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1BlockForEach.html"> 106</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1BlockForEach.html">BlockForEach</a> {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1BlockForEach.html#aa2e578397b5cd68214736c2437f92480"> 109</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1BlockForEach.html#aa2e578397b5cd68214736c2437f92480">BlockForEach</a>(</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  Element *ptr, </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordtype">size_t</span> capacity,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">typename</span> Func::Params params = <span class="keyword">typename</span> Func::Params()) {</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  Func func(params);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> index = 0; index < capacity; ++index) {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  ptr[index] = func();</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  } </div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  }</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> };</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </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="comment">// namespace host</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> } <span class="comment">// namespace reference</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> } <span class="comment">// namespace cutlass</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="ttc" id="structcutlass_1_1reference_1_1host_1_1BlockForEach_html"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1BlockForEach.html">cutlass::reference::host::BlockForEach</a></div><div class="ttdef"><b>Definition:</b> host/tensor_foreach.h:106</div></div>
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<div class="ttc" id="namespacecutlass_html"><div class="ttname"><a href="namespacecutlass.html">cutlass</a></div><div class="ttdef"><b>Definition:</b> aligned_buffer.h:35</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1BlockForEach_html_aa2e578397b5cd68214736c2437f92480"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1BlockForEach.html#aa2e578397b5cd68214736c2437f92480">cutlass::reference::host::BlockForEach::BlockForEach</a></div><div class="ttdeci">BlockForEach(Element *ptr, size_t capacity, typename Func::Params params=typename Func::Params())</div><div class="ttdoc">Constructor performs the operation. </div><div class="ttdef"><b>Definition:</b> host/tensor_foreach.h:109</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper_html_a1161a761c596e714982fe30141211cca"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html#a1161a761c596e714982fe30141211cca">cutlass::reference::host::detail::TensorForEachHelper::kActiveRank</a></div><div class="ttdeci">static int const kActiveRank</div><div class="ttdoc">Index of the active rank. </div><div class="ttdef"><b>Definition:</b> host/tensor_foreach.h:44</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper_html_aa63906bbecfe42eec1991c9176f066d9"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html#aa63906bbecfe42eec1991c9176f066d9">cutlass::reference::host::detail::TensorForEachHelper::TensorForEachHelper</a></div><div class="ttdeci">TensorForEachHelper(Func &func, Coord< Rank > const &extent, Coord< Rank > &coord)</div><div class="ttdoc">Constructor for general rank. </div><div class="ttdef"><b>Definition:</b> host/tensor_foreach.h:47</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper_html"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper.html">cutlass::reference::host::detail::TensorForEachHelper</a></div><div class="ttdoc">Helper to perform for-each operation. </div><div class="ttdef"><b>Definition:</b> host/tensor_foreach.h:41</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper_3_01Func_00_01Rank_00_010_01_4_html_a5029a4405a9a5e64011addb43bb88120"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorForEachHelper_3_01Func_00_01Rank_00_010_01_4.html#a5029a4405a9a5e64011addb43bb88120">cutlass::reference::host::detail::TensorForEachHelper< Func, Rank, 0 >::TensorForEachHelper</a></div><div class="ttdeci">TensorForEachHelper(Func &func, Coord< Rank > const &extent, Coord< Rank > &coord)</div><div class="ttdoc">Constructor for fastest changing rank. </div><div class="ttdef"><b>Definition:</b> host/tensor_foreach.h:67</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:43</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a3825b1aaaf5e5abf0de5f427e3481ada"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a3825b1aaaf5e5abf0de5f427e3481ada">cutlass::reference::host::TensorForEachLambda</a></div><div class="ttdeci">void TensorForEachLambda(Coord< Rank > extent, Func func)</div><div class="ttdoc">Iterates over the index space of a tensor and calls a C++ lambda. </div><div class="ttdef"><b>Definition:</b> host/tensor_foreach.h:98</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a8c798c04df572b34e3ed3976d69f993d"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">cutlass::reference::host::TensorForEach</a></div><div class="ttdeci">void TensorForEach(Coord< Rank > extent, Func &func)</div><div class="ttdoc">Iterates over the index space of a tensor. </div><div class="ttdef"><b>Definition:</b> host/tensor_foreach.h:87</div></div>
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<div class="ttc" id="structcutlass_1_1Coord_html_a8a65128c86b236cd2bea875b85a34bc1"><div class="ttname"><a href="structcutlass_1_1Coord.html#a8a65128c86b236cd2bea875b85a34bc1">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:255</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. </div></div>
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