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<div class="title">host/tensor_fill.h</div> </div>
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<a href="host_2tensor__fill_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="comment">/* \file</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"> \brief Provides several functions for filling tensors with data.</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment">*/</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment">// Standard Library includes</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include <utility></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor">#include <cstdlib></span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor">#include <cmath></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="comment">// Cutlass includes</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include "<a class="code" href="cutlass_8h.html">cutlass/cutlass.h</a>"</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include "<a class="code" href="complex_8h.html">cutlass/complex.h</a>"</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor">#include "<a class="code" href="array_8h.html">cutlass/array.h</a>"</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor">#include "<a class="code" href="numeric__types_8h.html">cutlass/numeric_types.h</a>"</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor">#include "<a class="code" href="distribution_8h.html">cutlass/util/distribution.h</a>"</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor">#include "<a class="code" href="host_2tensor__foreach_8h.html">tensor_foreach.h</a>"</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">namespace </span><a class="code" href="namespacecutlass.html">cutlass</a> {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="keyword">namespace </span>reference {</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword">namespace </span>host {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">namespace </span>detail {</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> <span class="keyword">template</span> <</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html"> 59</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html">TensorFillFunc</a> {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a4a75d3f07143d0a5d98e1d6f3115cfeb"> 61</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a4a75d3f07143d0a5d98e1d6f3115cfeb">TensorView</a> = <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">//</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">//</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a49d7728b3b07ddc6e063a8aedf2c292c"> 67</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a4a75d3f07143d0a5d98e1d6f3115cfeb">TensorView</a> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a49d7728b3b07ddc6e063a8aedf2c292c">view</a>;</div><div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#ad52ccd0a3cd4685b52746abe5ad7df71"> 68</a></span>  Element <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#ad52ccd0a3cd4685b52746abe5ad7df71">value</a>;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">//</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="comment">//</span></div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a55353997540e39108d75456f681a703d"> 74</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a55353997540e39108d75456f681a703d">TensorFillFunc</a>(</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a4a75d3f07143d0a5d98e1d6f3115cfeb">TensorView</a> <span class="keyword">const</span> &view_ = <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a4a75d3f07143d0a5d98e1d6f3115cfeb">TensorView</a>(), </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  Element value_ = Element(0)</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  ): view(view_), value(value_) { }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a5fd28f9610e15afd33e1e8f56e1b9021"> 79</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a5fd28f9610e15afd33e1e8f56e1b9021">operator()</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> <span class="keyword">const</span> & coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  view.at(coord) = <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#ad52ccd0a3cd4685b52746abe5ad7df71">value</a>;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> };</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> } <span class="comment">// namespace detail</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a81b0f81940ce0ecc0d486d2f45659f6e"> 92</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a81b0f81940ce0ecc0d486d2f45659f6e">TensorFill</a>(</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> dst, </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  Element val = Element(0)) { </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html">detail::TensorFillFunc<Element, Layout></a> func(dst, val);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">TensorForEach</a>(</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  dst.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(),</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  func</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="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="keyword">namespace </span>detail {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Element></div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html"> 110</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html">RandomGaussianFunc</a> {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div><div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a0d83ee32fde2512db11ed9b5f7ae1534"> 112</a></span>  uint64_t <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a0d83ee32fde2512db11ed9b5f7ae1534">seed</a>;</div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a5da7c7b953aa178bb356ba8578245d89"> 113</a></span>  <span class="keywordtype">double</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a5da7c7b953aa178bb356ba8578245d89">mean</a>;</div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a4138398f954d5dfd1e968caee2918835"> 114</a></span>  <span class="keywordtype">double</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a4138398f954d5dfd1e968caee2918835">stddev</a>;</div><div class="line"><a name="l00115"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a4c9943f36faab7d4928b1f130d0b784c"> 115</a></span>  <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a4c9943f36faab7d4928b1f130d0b784c">int_scale</a>;</div><div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a6b96ec27d0f7df4c4a1bd451b29a69fe"> 116</a></span>  <span class="keywordtype">double</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a6b96ec27d0f7df4c4a1bd451b29a69fe">pi</a>;</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>  <span class="comment">//</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">//</span></div><div class="line"><a name="l00121"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a45ca53d7fcac978533361d8fc5f15311"> 121</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a45ca53d7fcac978533361d8fc5f15311">RandomGaussianFunc</a>(</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  uint64_t seed_ = 0, </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordtype">double</span> mean_ = 0, </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordtype">double</span> stddev_ = 1,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordtype">int</span> int_scale_ = -1</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  ):</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  seed(seed_), mean(mean_), stddev(stddev_), int_scale(int_scale_), pi(<a class="code" href="namespacestd.html">std</a>::acos(-1)) {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  std::srand((<span class="keywordtype">unsigned</span>)seed);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a0208d33ceb87f0fc273dc17a66a5e990"> 132</a></span>  Element <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a0208d33ceb87f0fc273dc17a66a5e990">operator()</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="comment">// Box-Muller transform to generate random numbers with Normal distribution</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordtype">double</span> u1 = double(std::rand()) / double(RAND_MAX);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordtype">double</span> u2 = double(std::rand()) / double(RAND_MAX);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// Compute Gaussian random value</span></div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordtype">double</span> rnd = <a class="code" href="namespacecutlass.html#a28f05d94dbdfc97cddbeab3a5d23839d">std::sqrt</a>(-2 * <a class="code" href="namespacecutlass.html#a67f9e83dd59615eff837ea66984c121c">std::log</a>(u1)) * <a class="code" href="namespacecutlass.html#a2337866060023f87d4d821850738541f">std::cos</a>(2 * pi * u2);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  rnd = mean + stddev * rnd;</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="comment">// Scale and convert final result</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  Element result;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">if</span> (int_scale >= 0) {</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  rnd = double(int64_t(rnd * <span class="keywordtype">double</span>(1 << int_scale))) / double(1 << int_scale);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  result = <span class="keyword">static_cast<</span>Element<span class="keyword">></span>(rnd);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  }</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  result = <span class="keyword">static_cast<</span>Element<span class="keyword">></span>(rnd);</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> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  }</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> };</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> </div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Element></div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html"> 159</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html">RandomGaussianFunc</a><<a class="code" href="classcutlass_1_1complex.html">complex</a><Element> > {</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div><div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a8239acd9e3b11b0b6a3f26f48f18b508"> 161</a></span>  uint64_t <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a8239acd9e3b11b0b6a3f26f48f18b508">seed</a>;</div><div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#ad8c60b0630a2867fd80a0d09a3cf63cd"> 162</a></span>  <span class="keywordtype">double</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#ad8c60b0630a2867fd80a0d09a3cf63cd">mean</a>;</div><div class="line"><a name="l00163"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a4c1cec1d0871654b9e3c5cf132099034"> 163</a></span>  <span class="keywordtype">double</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a4c1cec1d0871654b9e3c5cf132099034">stddev</a>;</div><div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a6a906b7ae9c17b6ebe2063d652f3ab50"> 164</a></span>  <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a6a906b7ae9c17b6ebe2063d652f3ab50">int_scale</a>;</div><div class="line"><a name="l00165"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a61f603633246ab86c8f46e6cbe0f257c"> 165</a></span>  <span class="keywordtype">double</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a61f603633246ab86c8f46e6cbe0f257c">pi</a>;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> </div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">//</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="comment">//</span></div><div class="line"><a name="l00170"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a72b71664e9ddc5ce392e1db822cfdada"> 170</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a72b71664e9ddc5ce392e1db822cfdada">RandomGaussianFunc</a>(</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  uint64_t seed_ = 0, </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordtype">double</span> mean_ = 0, </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordtype">double</span> stddev_ = 1,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keywordtype">int</span> int_scale_ = -1</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  ):</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  seed(seed_), mean(mean_), stddev(stddev_), int_scale(int_scale_), pi(<a class="code" href="namespacestd.html">std</a>::acos(-1)) {</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  std::srand((<span class="keywordtype">unsigned</span>)seed);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  }</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00181"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a04ad19f3f63c0cba77a76a2ce243b727"> 181</a></span>  <a class="code" href="classcutlass_1_1complex.html">complex<Element></a> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a04ad19f3f63c0cba77a76a2ce243b727">operator()</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  Element reals[2];</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < 2; ++i) {</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="comment">// Box-Muller transform to generate random numbers with Normal distribution</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordtype">double</span> u1 = double(std::rand()) / double(RAND_MAX);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordtype">double</span> u2 = double(std::rand()) / double(RAND_MAX);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span> </div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="comment">// Compute Gaussian random value</span></div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordtype">double</span> rnd = <a class="code" href="namespacecutlass.html#a28f05d94dbdfc97cddbeab3a5d23839d">std::sqrt</a>(-2 * <a class="code" href="namespacecutlass.html#a67f9e83dd59615eff837ea66984c121c">std::log</a>(u1)) * <a class="code" href="namespacecutlass.html#a2337866060023f87d4d821850738541f">std::cos</a>(2 * pi * u2);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  rnd = mean + stddev * rnd;</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>  <span class="keywordflow">if</span> (int_scale >= 0) {</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  rnd = double(<span class="keywordtype">int</span>(rnd * <span class="keywordtype">double</span>(1 << int_scale)));</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  reals[i] = from_real<Element>(rnd / double(1 << int_scale));</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  }</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  reals[i] = from_real<Element>(rnd);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  }</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</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>  <span class="keywordflow">return</span> <a class="code" href="classcutlass_1_1complex.html">complex<Element></a>(reals[0], reals[1]);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  }</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> };</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00211"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html"> 211</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html">TensorFillGaussianFunc</a> {</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#a65d2c3c1f2d6fffe8eb4a4a23a914857"> 213</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> = <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a>;</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>  <span class="comment">//</span></div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="comment">//</span></div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#a9c559d6186d27c3d343d92830e989832"> 219</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#a9c559d6186d27c3d343d92830e989832">view</a>;</div><div class="line"><a name="l00220"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#aa6cc9355b27c1d33e351a31bcf4aece7"> 220</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html">RandomGaussianFunc<Element></a> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#aa6cc9355b27c1d33e351a31bcf4aece7">func</a>;</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="comment">//</span></div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="comment">//</span></div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00227"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#a4b365f33d4c2d36c2e8052965bc3c787"> 227</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#a4b365f33d4c2d36c2e8052965bc3c787">TensorFillGaussianFunc</a>(</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> view_ = <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a4a75d3f07143d0a5d98e1d6f3115cfeb">TensorView</a>(),</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html">RandomGaussianFunc<Element></a> func_ = <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html">RandomGaussianFunc<Element></a>()</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  ):</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  view(view_), func(func_) {</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00236"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#a4e447a80bd94cde69fa66f9e9d882b28"> 236</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#a4e447a80bd94cde69fa66f9e9d882b28">operator()</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> <span class="keyword">const</span> &coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  view.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(coord) = func();</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  }</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="l00241"></a><span class="lineno"> 241</span> } <span class="comment">// namespace detail</span></div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00249"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a5187d9f07f2b1edebfbad067c7a84826"> 249</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a5187d9f07f2b1edebfbad067c7a84826">TensorFillRandomGaussian</a>(</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> dst, </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  uint64_t seed, </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordtype">double</span> mean = 0, </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordtype">double</span> stddev = 1, </div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordtype">int</span> bits = -1) { </div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  </div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html">detail::RandomGaussianFunc<Element></a> random_func(seed, mean, stddev, bits);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html">detail::TensorFillGaussianFunc<Element, Layout></a> func(</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  dst,</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  random_func</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  );</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">TensorForEach</a>(</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  dst.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(),</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  func</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  );</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> }</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keyword">typename</span> Element </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> ></div><div class="line"><a name="l00277"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a121079d5cb24dd0e0339cee552a854de"> 277</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a121079d5cb24dd0e0339cee552a854de">BlockFillRandomGaussian</a>(</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  Element *ptr, </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordtype">size_t</span> capacity, </div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  uint64_t seed, </div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordtype">double</span> mean = 0, </div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordtype">double</span> stddev = 1, </div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordtype">int</span> bits = -1) { </div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html">detail::RandomGaussianFunc<Element></a> random_func(seed, mean, stddev, bits);</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < capacity; ++i) {</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  ptr[i] = random_func();</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  }</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> }</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> </div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> <span class="keyword">namespace </span>detail {</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Element></div><div class="line"><a name="l00301"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html"> 301</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html">RandomUniformFunc</a> {</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> </div><div class="line"><a name="l00303"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a317b294d017b81224eb1aca2742e8a3c"> 303</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a317b294d017b81224eb1aca2742e8a3c">Real</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1RealType.html#a1905f6f1044cfbf84f7345699246a6ca">RealType<Element>::Type</a>;</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  </div><div class="line"><a name="l00305"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a4cd2d49c1b0042dfa83ead210eec12f7"> 305</a></span>  uint64_t <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a4cd2d49c1b0042dfa83ead210eec12f7">seed</a>;</div><div class="line"><a name="l00306"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#ab65f9bd7b329d6ce077daf50fb3148f1"> 306</a></span>  <span class="keywordtype">double</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#ab65f9bd7b329d6ce077daf50fb3148f1">range</a>;</div><div class="line"><a name="l00307"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#ab3de08baeb9246f5472a1c8ec19c68fa"> 307</a></span>  <span class="keywordtype">double</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#ab3de08baeb9246f5472a1c8ec19c68fa">min</a>;</div><div class="line"><a name="l00308"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a9b410cf9a05a34317a83cce730f9a348"> 308</a></span>  <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a9b410cf9a05a34317a83cce730f9a348">int_scale</a>;</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span> </div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="comment">//</span></div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="comment">//</span></div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#ac39a320d0975f140d51cf2cd7dd53441"> 314</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#ac39a320d0975f140d51cf2cd7dd53441">RandomUniformFunc</a>(</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  uint64_t seed_ = 0, </div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keywordtype">double</span> <a class="code" href="namespacecutlass_1_1platform.html#af6a9a165e53d7e85ae121d5789aa03e0">max</a> = 1,</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordtype">double</span> min_ = 0,</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordtype">int</span> int_scale_ = -1</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  ):</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  seed(seed_), range(<a class="code" href="namespacecutlass_1_1platform.html#af6a9a165e53d7e85ae121d5789aa03e0">max</a> - min_), min(min_), int_scale(int_scale_) {</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  std::srand((<span class="keywordtype">unsigned</span>)seed);</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  }</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span> </div><div class="line"><a name="l00326"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a09db614d063fec17a6a2fbe23389f10a"> 326</a></span>  Element <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a09db614d063fec17a6a2fbe23389f10a">operator()</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordtype">double</span> rnd = double(std::rand()) / double(RAND_MAX);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  rnd = min + range * rnd;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="comment">// Random values are cast to integer after scaling by a power of two to facilitate error</span></div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="comment">// testing</span></div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  Element result;</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  </div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">if</span> (int_scale >= 0) {</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  rnd = double(int64_t(rnd * <span class="keywordtype">double</span>(1 << int_scale))) / double(1 << int_scale);</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  result = <span class="keyword">static_cast<</span>Element<span class="keyword">></span>(<a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a317b294d017b81224eb1aca2742e8a3c">Real</a>(rnd));</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  }</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  result = <span class="keyword">static_cast<</span>Element<span class="keyword">></span>(<a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a317b294d017b81224eb1aca2742e8a3c">Real</a>(rnd));</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  }</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> </div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  }</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> };</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> </div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Element></div><div class="line"><a name="l00350"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html"> 350</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html">RandomUniformFunc</a><<a class="code" href="classcutlass_1_1complex.html">complex</a><Element> > {</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div><div class="line"><a name="l00352"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#abd7e66b999df7719f6ac77f0a82a0d5d"> 352</a></span>  <span class="keyword">using</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#abd7e66b999df7719f6ac77f0a82a0d5d">Real</a> = <span class="keyword">typename</span> <a class="code" href="structcutlass_1_1RealType.html#a1905f6f1044cfbf84f7345699246a6ca">RealType<Element>::Type</a>;</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  </div><div class="line"><a name="l00354"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#a8065a5275af20c18429a8f279be98e97"> 354</a></span>  uint64_t <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#a8065a5275af20c18429a8f279be98e97">seed</a>;</div><div class="line"><a name="l00355"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#a17c91db74ff727d9f42442c09d21d0b3"> 355</a></span>  <span class="keywordtype">double</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#a17c91db74ff727d9f42442c09d21d0b3">range</a>;</div><div class="line"><a name="l00356"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#a005299ae9f0e4533f6847a7f6ff9e6ad"> 356</a></span>  <span class="keywordtype">double</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#a005299ae9f0e4533f6847a7f6ff9e6ad">min</a>;</div><div class="line"><a name="l00357"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#ad0de7d4946af855288d7f9cccb9a18eb"> 357</a></span>  <span class="keywordtype">int</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#ad0de7d4946af855288d7f9cccb9a18eb">int_scale</a>;</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> </div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="comment">//</span></div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="comment">//</span></div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00363"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#aa894090fefa7f3cc99ec66f5b6e7b7ac"> 363</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#aa894090fefa7f3cc99ec66f5b6e7b7ac">RandomUniformFunc</a>(</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  uint64_t seed_ = 0, </div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordtype">double</span> <a class="code" href="namespacecutlass_1_1platform.html#af6a9a165e53d7e85ae121d5789aa03e0">max</a> = 1,</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordtype">double</span> min_ = 0,</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keywordtype">int</span> int_scale_ = -1</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  ):</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  seed(seed_), range(<a class="code" href="namespacecutlass_1_1platform.html#af6a9a165e53d7e85ae121d5789aa03e0">max</a> - min_), min(min_), int_scale(int_scale_) {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  std::srand((<span class="keywordtype">unsigned</span>)seed);</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  }</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span> </div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#a6ef7020f1108432fe51853dffb7e727c"> 375</a></span>  complex<Element> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#a6ef7020f1108432fe51853dffb7e727c">operator()</a>()<span class="keyword"> const </span>{</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  Element reals[2];</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span> </div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < 2; ++i) {</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordtype">double</span> rnd = double(std::rand()) / double(RAND_MAX);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> </div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  rnd = min + range * rnd;</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> </div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="comment">// Random values are cast to integer after scaling by a power of two to facilitate error</span></div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="comment">// testing</span></div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  </div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">if</span> (int_scale >= 0) {</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  rnd = double(<span class="keywordtype">int</span>(rnd * <span class="keywordtype">double</span>(1 << int_scale)));</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  reals[i] = from_real<Element>(<a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#abd7e66b999df7719f6ac77f0a82a0d5d">Real</a>(rnd / <span class="keywordtype">double</span>(1 << int_scale)));</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  }</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordflow">else</span> {</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  reals[i] = from_real<Element>(<a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#abd7e66b999df7719f6ac77f0a82a0d5d">Real</a>(rnd));</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  }</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  }</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> </div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  <span class="keywordflow">return</span> complex<Element>(reals[0], reals[1]);</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  }</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> };</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span> </div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00404"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html"> 404</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html">TensorFillRandomUniformFunc</a> {</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div><div class="line"><a name="l00406"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#a8e2b5c338215d856260ff389338d1722"> 406</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> = <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a>;</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">//</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="comment">//</span></div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> </div><div class="line"><a name="l00412"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#a92cd583574fa8f7c4b19aea08b380476"> 412</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#a92cd583574fa8f7c4b19aea08b380476">view</a>;</div><div class="line"><a name="l00413"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#a9272276afdeec7284dfcc6605f153c97"> 413</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html">RandomUniformFunc<Element></a> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#a9272276afdeec7284dfcc6605f153c97">func</a>;</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="comment">//</span></div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <span class="comment">//</span></div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span> </div><div class="line"><a name="l00420"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#aa192b9b11c26dff5b0279fff30e3731c"> 420</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#aa192b9b11c26dff5b0279fff30e3731c">TensorFillRandomUniformFunc</a>(</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> view_ = <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a4a75d3f07143d0a5d98e1d6f3115cfeb">TensorView</a>(),</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html">RandomUniformFunc<Element></a> func_ = <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html">RandomUniformFunc<Element></a>()</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  ):</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  view(view_), func(func_) {</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> </div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  }</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> </div><div class="line"><a name="l00429"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#a9841b5a0391cd0dc747f5a30660ea7d9"> 429</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#a9841b5a0391cd0dc747f5a30660ea7d9">operator()</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> <span class="keyword">const</span> &coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> </div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  view.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(coord) = func();</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  }</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> };</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span> </div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span> } <span class="comment">// namespace detail</span></div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> </div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00443"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a8f1500a3e2cb694323bf9d25bafc0fbc"> 443</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8f1500a3e2cb694323bf9d25bafc0fbc">TensorFillRandomUniform</a>(</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> dst, </div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  uint64_t seed, </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordtype">double</span> <a class="code" href="namespacecutlass_1_1platform.html#af6a9a165e53d7e85ae121d5789aa03e0">max</a> = 1, </div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordtype">double</span> <a class="code" href="namespacecutlass_1_1platform.html#a57c071d2a7305dd4ec60542e66b0c81c">min</a> = 0, </div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordtype">int</span> bits = -1) { </div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html">detail::RandomUniformFunc<Element></a> random_func(seed, <a class="code" href="namespacecutlass_1_1platform.html#af6a9a165e53d7e85ae121d5789aa03e0">max</a>, <a class="code" href="namespacecutlass_1_1platform.html#a57c071d2a7305dd4ec60542e66b0c81c">min</a>, bits);</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> </div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html">detail::TensorFillRandomUniformFunc<Element, Layout></a> func(</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  dst,</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  random_func</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  );</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span> </div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">TensorForEach</a>(</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  dst.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(),</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  func</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  );</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> }</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> </div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> </div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keyword">typename</span> Element </div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> ></div><div class="line"><a name="l00470"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a417152b59865d2ef6995ee2398bcea8d"> 470</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a417152b59865d2ef6995ee2398bcea8d">BlockFillRandomUniform</a>(</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  Element *ptr,</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordtype">size_t</span> capacity,</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  uint64_t seed, </div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordtype">double</span> <a class="code" href="namespacecutlass_1_1platform.html#af6a9a165e53d7e85ae121d5789aa03e0">max</a> = 1, </div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keywordtype">double</span> <a class="code" href="namespacecutlass_1_1platform.html#a57c071d2a7305dd4ec60542e66b0c81c">min</a> = 0, </div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keywordtype">int</span> bits = -1) { </div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html">detail::RandomUniformFunc<Element></a> random_func(seed, <a class="code" href="namespacecutlass_1_1platform.html#af6a9a165e53d7e85ae121d5789aa03e0">max</a>, <a class="code" href="namespacecutlass_1_1platform.html#a57c071d2a7305dd4ec60542e66b0c81c">min</a>, bits);</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> </div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < capacity; ++i) {</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  ptr[i] = random_func();</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  }</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span> }</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> </div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> </div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span> <span class="keyword">namespace </span>detail {</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span> </div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00494"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html"> 494</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html">TensorFillDiagonalFunc</a> {</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> </div><div class="line"><a name="l00496"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#a0a551f530a56a74b955b53c6ede04635"> 496</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> = <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a>;</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> </div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="comment">//</span></div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="comment">//</span></div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> </div><div class="line"><a name="l00502"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#a6f88183d1f98e77cc1225efa92be128b"> 502</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#a6f88183d1f98e77cc1225efa92be128b">view</a>;</div><div class="line"><a name="l00503"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#a027d9ae77e068454e8df798018276c18"> 503</a></span>  Element <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#a027d9ae77e068454e8df798018276c18">diag</a>;</div><div class="line"><a name="l00504"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#ab5fdecc2fd8df736bf4efe884a8e873e"> 504</a></span>  Element <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#ab5fdecc2fd8df736bf4efe884a8e873e">other</a>;</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span> </div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="comment">//</span></div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="comment">//</span></div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span> </div><div class="line"><a name="l00510"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#ac288b85512ed45e0180987bf5b85dd23"> 510</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#ac288b85512ed45e0180987bf5b85dd23">TensorFillDiagonalFunc</a>(</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <span class="keyword">const</span> &view_ = <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a4a75d3f07143d0a5d98e1d6f3115cfeb">TensorView</a>(),</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  Element diag_ = Element(1),</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  Element other_ = Element(0)</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  ):</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  view(view_), diag(diag_), other(other_) { }</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> </div><div class="line"><a name="l00517"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#aa4b7ce383219da51d8021a4c27b3a57b"> 517</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#aa4b7ce383219da51d8021a4c27b3a57b">operator()</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> <span class="keyword">const</span> & coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordtype">bool</span> is_diag = <span class="keyword">true</span>;</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  </div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 1; i < Layout::kRank; ++i) {</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keywordflow">if</span> (coord[i] != coord[i - 1]) {</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  is_diag = <span class="keyword">false</span>;</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  }</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  }</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span> </div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  view.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(coord) = (is_diag ? diag : other);</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  }</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span> };</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> </div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span> } <span class="comment">// namespace detail</span></div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span> </div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span> </div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00540"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a1c81144ca36832a48d04d1b5b6498080"> 540</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a1c81144ca36832a48d04d1b5b6498080">TensorFillDiagonal</a>(</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> dst, </div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span>  Element diag = Element(1), </div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  Element other = Element(0)) { </div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> </div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html">detail::TensorFillDiagonalFunc<Element, Layout></a> func(</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  dst,</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  diag,</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>  other</div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  );</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span> </div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">TensorForEach</a>(</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  dst.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(),</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  func</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  );</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> }</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> </div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> </div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00564"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a29548cb522d9c147cf34263ecac75d89"> 564</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a29548cb522d9c147cf34263ecac75d89">TensorFillIdentity</a>(</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> dst) { </div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span> </div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a1c81144ca36832a48d04d1b5b6498080">TensorFillDiagonal</a>(dst, Element(1), Element(0));</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> }</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span> </div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00577"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#acbf747241e8ac6ef9b1702b735a7913e"> 577</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#acbf747241e8ac6ef9b1702b735a7913e">TensorUpdateDiagonal</a>(</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> dst, </div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  Element val = Element(1)) {</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span> </div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keyword">typename</span> Layout::Index extent = dst.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>().min();</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span> </div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> Layout::Index i = 0; i < extent; ++i) {</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> coord(i);</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  dst.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(coord) = val;</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  }</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> }</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> </div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span> </div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span> <span class="keyword">namespace </span>detail {</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span> </div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00597"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html"> 597</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html">TensorUpdateOffDiagonalFunc</a> {</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> </div><div class="line"><a name="l00599"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a3b3f634de2385fe50d8448199f522af2"> 599</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> = <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a>;</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span> </div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>  <span class="comment">//</span></div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  <span class="comment">//</span></div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span> </div><div class="line"><a name="l00605"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a11580631bdb3106d4edd768a76f6ca6f"> 605</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a11580631bdb3106d4edd768a76f6ca6f">view</a>;</div><div class="line"><a name="l00606"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a05cc631b27ee842d78b48a4a1a16b943"> 606</a></span>  Element <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a05cc631b27ee842d78b48a4a1a16b943">other</a>;</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> </div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  <span class="comment">//</span></div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="comment">//</span></div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span> </div><div class="line"><a name="l00612"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a65a5f9c6873bea8c693b4b88087cba17"> 612</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a65a5f9c6873bea8c693b4b88087cba17">TensorUpdateOffDiagonalFunc</a>(</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <span class="keyword">const</span> &view_ = <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a4a75d3f07143d0a5d98e1d6f3115cfeb">TensorView</a>(),</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  Element other_ = Element(0)</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  ):</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  view(view_), other(other_) { }</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span> </div><div class="line"><a name="l00618"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a4b610b1ca5801a747afb4a2c5ad0fadd"> 618</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a4b610b1ca5801a747afb4a2c5ad0fadd">operator()</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> <span class="keyword">const</span> & coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keywordtype">bool</span> is_diag = <span class="keyword">true</span>;</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  </div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 1; i < Layout::kRank; ++i) {</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="keywordflow">if</span> (coord[i] != coord[i - 1]) {</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  is_diag = <span class="keyword">false</span>;</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  }</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  }</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span> </div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="keywordflow">if</span> (!is_diag) {</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  view.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(coord) = other;</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  }</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  }</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span> };</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span> </div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span> } <span class="comment">// namespace detail</span></div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span> </div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span> </div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00643"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a6d146dc0390e4c045f08b5d2adfcf48a"> 643</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a6d146dc0390e4c045f08b5d2adfcf48a">TensorUpdateOffDiagonal</a>(</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> dst, </div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span>  Element other = Element(1)) {</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span> </div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html">detail::TensorUpdateOffDiagonalFunc<Element, Layout></a> func(</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>  dst,</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  other</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  );</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span> </div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">TensorForEach</a>(</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  dst.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(),</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  func</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  );</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> }</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span> </div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span> </div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> </div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span> <span class="keyword">namespace </span>detail {</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span> </div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00667"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html"> 667</a></span> <span class="keyword">struct </span><a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html">TensorFillLinearFunc</a> {</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span> </div><div class="line"><a name="l00669"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#a4049f14cdcfa90f02993f00922f39c79"> 669</a></span>  <span class="keyword">using</span> <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> = <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a>;</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span> </div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="comment">//</span></div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="comment">// Data members</span></div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="comment">//</span></div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span> </div><div class="line"><a name="l00675"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#aabd6c175d26c7c370aa7f67034e9c323"> 675</a></span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#aabd6c175d26c7c370aa7f67034e9c323">view</a>;</div><div class="line"><a name="l00676"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#aa47ca9b4e4187f4eee4f332b6cd855bb"> 676</a></span>  Array<Element, Layout::kRank> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#aa47ca9b4e4187f4eee4f332b6cd855bb">v</a>;</div><div class="line"><a name="l00677"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#a83ca72169299439a087871b794750c38"> 677</a></span>  Element <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#a83ca72169299439a087871b794750c38">s</a>;</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span> </div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  <span class="comment">//</span></div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  <span class="comment">// Methods</span></div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  <span class="comment">//</span></div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  </div><div class="line"><a name="l00683"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#a7b3f05b29657f968969b15bd6af4b4c1"> 683</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#a7b3f05b29657f968969b15bd6af4b4c1">TensorFillLinearFunc</a>() { }</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span> </div><div class="line"><a name="l00686"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#aac8469e704c75d37224294fef6bc8983"> 686</a></span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#aac8469e704c75d37224294fef6bc8983">TensorFillLinearFunc</a>(</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView</a> <span class="keyword">const</span> &view_,</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  Array<Element, Layout::kRank> <span class="keyword">const</span> & v_,</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  Element s_ = Element(0)</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  ):</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  view(view_), v(v_), s(s_) { }</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span> </div><div class="line"><a name="l00694"></a><span class="lineno"><a class="line" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#a660184169f203d2499799692b136d589"> 694</a></span>  <span class="keywordtype">void</span> <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#a660184169f203d2499799692b136d589">operator()</a>(<a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> <span class="keyword">const</span> & coord)<span class="keyword"> const </span>{</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  </div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  Element sum(s);</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span> </div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < Layout::kRank; ++i) {</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  sum += Element(coord[i]) * v[i];</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  }</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span> </div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  view.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(coord) = sum;</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  }</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span> };</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span> </div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span> } <span class="comment">// namespace detail</span></div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span> </div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span> </div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00715"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#ac23a650217ddd1640807c2e91e69ab91"> 715</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#ac23a650217ddd1640807c2e91e69ab91">TensorFillLinear</a>(</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> dst, </div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  Array<Element, Layout::kRank> <span class="keyword">const</span> & v,</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  Element s = Element(0)) {</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span> </div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <a class="code" href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html">detail::TensorFillLinearFunc<Element, Layout></a> func(</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  dst,</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span>  v,</div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  s</div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  );</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span> </div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a8c798c04df572b34e3ed3976d69f993d">TensorForEach</a>(</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  dst.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>(),</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  func</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span>  );</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span> }</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> </div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span> </div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00738"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#ad6e2cd99b8096eaaf79c0a6edbd3e420"> 738</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#ad6e2cd99b8096eaaf79c0a6edbd3e420">TensorFillSequential</a>(</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> dst, </div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  Element s = Element(0)) {</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span> </div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  Array<Element, Layout::kRank> stride;</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> </div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  stride[0] = Element(1);</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span> </div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <a class="code" href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 1; i < Layout::kRank; ++i) {</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  stride[i] = stride[i - 1] * Element(dst.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>()[i - 1]);</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  }</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span> </div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <a class="code" href="namespacecutlass_1_1reference_1_1host.html#ac23a650217ddd1640807c2e91e69ab91">TensorFillLinear</a>(dst, stride, s);</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span> }</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span> </div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span> </div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <span class="keyword">typename</span> Element</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span> ></div><div class="line"><a name="l00761"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a1808624141976837e298340c9f6c0f6b"> 761</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a1808624141976837e298340c9f6c0f6b">BlockFillSequential</a>(</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  Element *ptr,</div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  int64_t capacity,</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  Element v = Element(1),</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  Element s = Element(0)) {</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="keywordtype">int</span> i = 0;</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span> </div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  <span class="keywordflow">while</span> (i < capacity) {</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span>  <a class="code" href="structcutlass_1_1ReferenceFactory.html">cutlass::ReferenceFactory<Element, (cutlass::sizeof_bits<Element>::value</a> <</div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  8)>::<span class="keyword">get</span>(ptr, i) = s;</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span> </div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  s = Element(s + v);</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  ++i;</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  }</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span> }</div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span> </div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span> </div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  <span class="keyword">typename</span> Element</div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span> ></div><div class="line"><a name="l00784"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#ae6171d78c959aefff277cec4cad8fdb3"> 784</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#ae6171d78c959aefff277cec4cad8fdb3">BlockFillRandom</a>(</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span>  Element *ptr,</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <span class="keywordtype">size_t</span> capacity,</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  uint64_t seed,</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <a class="code" href="structcutlass_1_1Distribution.html">Distribution</a> dist) {</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span> </div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  <span class="keywordflow">if</span> (dist.<a class="code" href="structcutlass_1_1Distribution.html#a07cb089b346ef06e198f6043128264fb">kind</a> == <a class="code" href="structcutlass_1_1Distribution.html#a499f4023e0d42356ce71d38cc32bf92aa39890d8be86d514207259b1b5dca3ed5">Distribution::Gaussian</a>) {</div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  BlockFillRandomGaussian<Element>(</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  ptr, </div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  capacity, </div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  seed, </div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  dist.<a class="code" href="structcutlass_1_1Distribution.html#ada9c50671b405fabbb0841a093f809de">gaussian</a>.mean, </div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  dist.<a class="code" href="structcutlass_1_1Distribution.html#ada9c50671b405fabbb0841a093f809de">gaussian</a>.stddev, </div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span>  dist.<a class="code" href="structcutlass_1_1Distribution.html#a676b1d8b87691b4218f6ed308e6adfc1">int_scale</a>);</div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span>  }</div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (dist.<a class="code" href="structcutlass_1_1Distribution.html#a07cb089b346ef06e198f6043128264fb">kind</a> == <a class="code" href="structcutlass_1_1Distribution.html#a499f4023e0d42356ce71d38cc32bf92aa0fad91cf4fcbc8ab015053bea77090a6">Distribution::Uniform</a>) {</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  BlockFillRandomUniform<Element>(</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  ptr, </div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  capacity, </div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  seed, </div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  dist.<a class="code" href="structcutlass_1_1Distribution.html#afc30b6976acb39e54f061af1bf2870db">uniform</a>.max,</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  dist.<a class="code" href="structcutlass_1_1Distribution.html#afc30b6976acb39e54f061af1bf2870db">uniform</a>.min, </div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  dist.<a class="code" href="structcutlass_1_1Distribution.html#a676b1d8b87691b4218f6ed308e6adfc1">int_scale</a>);</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  }</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span> }</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span> </div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span> </div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00817"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a224f376c3199603bde4ededa4357eea3"> 817</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a224f376c3199603bde4ededa4357eea3">TensorCopyDiagonalIn</a>(</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> dst, </div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  Element <span class="keyword">const</span> *ptr) { </div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span> </div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <span class="keyword">typename</span> Layout::Index extent = dst.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>().min();</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  </div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> Layout::Index i = 0; i < extent; ++i) {</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> coord(i);</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span>  dst.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(coord) = ptr[i];</div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  }</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span> }</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> </div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span> </div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <span class="keyword">typename</span> Element, </div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <span class="keyword">typename</span> Layout> </div><div class="line"><a name="l00836"></a><span class="lineno"><a class="line" href="namespacecutlass_1_1reference_1_1host.html#a63f6629dd3aabb499ba430d84cb98e05"> 836</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacecutlass_1_1reference_1_1host.html#a63f6629dd3aabb499ba430d84cb98e05">TensorCopyDiagonalOut</a>(</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  Element *ptr, </div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <a class="code" href="classcutlass_1_1TensorView.html">TensorView<Element, Layout></a> src) { </div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span> </div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span>  <span class="keyword">typename</span> Layout::Index extent = src.<a class="code" href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">extent</a>().min();</div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  </div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <span class="keywordflow">for</span> (<span class="keyword">typename</span> Layout::Index i = 0; i < extent; ++i) {</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  <a class="code" href="structcutlass_1_1Coord.html">Coord<Layout::kRank></a> coord(i);</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  ptr[i] = src.<a class="code" href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">at</a>(coord);</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  }</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span> }</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span> </div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span> </div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span> } <span class="comment">// namespace host</span></div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span> } <span class="comment">// namespace reference</span></div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span> } <span class="comment">// namespace cutlass</span></div><div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_html_a0d83ee32fde2512db11ed9b5f7ae1534"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a0d83ee32fde2512db11ed9b5f7ae1534">cutlass::reference::host::detail::RandomGaussianFunc::seed</a></div><div class="ttdeci">uint64_t seed</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:112</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc_html_a9841b5a0391cd0dc747f5a30660ea7d9"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#a9841b5a0391cd0dc747f5a30660ea7d9">cutlass::reference::host::detail::TensorFillRandomUniformFunc::operator()</a></div><div class="ttdeci">void operator()(Coord< Layout::kRank > const &coord) const </div><div class="ttdoc">Compute random value and update RNG state. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:429</div></div>
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<div class="ttc" id="namespacecutlass_html_a2337866060023f87d4d821850738541f"><div class="ttname"><a href="namespacecutlass.html#a2337866060023f87d4d821850738541f">cutlass::cos</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE complex< T > cos(complex< T > const &z)</div><div class="ttdoc">Computes the cosine of complex z. </div><div class="ttdef"><b>Definition:</b> complex.h:401</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4_html_a005299ae9f0e4533f6847a7f6ff9e6ad"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#a005299ae9f0e4533f6847a7f6ff9e6ad">cutlass::reference::host::detail::RandomUniformFunc< complex< Element > >::min</a></div><div class="ttdeci">double min</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:356</div></div>
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<div class="ttc" id="namespacecutlass_1_1platform_html_af6a9a165e53d7e85ae121d5789aa03e0"><div class="ttname"><a href="namespacecutlass_1_1platform.html#af6a9a165e53d7e85ae121d5789aa03e0">cutlass::platform::max</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE constexpr const T & max(const T &a, const T &b)</div><div class="ttdoc">std::max </div><div class="ttdef"><b>Definition:</b> platform.h:189</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_html_a317b294d017b81224eb1aca2742e8a3c"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a317b294d017b81224eb1aca2742e8a3c">cutlass::reference::host::detail::RandomUniformFunc::Real</a></div><div class="ttdeci">typename RealType< Element >::Type Real</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:303</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a63f6629dd3aabb499ba430d84cb98e05"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a63f6629dd3aabb499ba430d84cb98e05">cutlass::reference::host::TensorCopyDiagonalOut</a></div><div class="ttdeci">void TensorCopyDiagonalOut(Element *ptr, TensorView< Element, Layout > src)</div><div class="ttdoc">Copies the diagonal of a tensor into a dense buffer in host memory. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:836</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_1Distribution_html_a499f4023e0d42356ce71d38cc32bf92aa0fad91cf4fcbc8ab015053bea77090a6"><div class="ttname"><a href="structcutlass_1_1Distribution.html#a499f4023e0d42356ce71d38cc32bf92aa0fad91cf4fcbc8ab015053bea77090a6">cutlass::Distribution::Uniform</a></div><div class="ttdef"><b>Definition:</b> distribution.h:40</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc_html"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html">cutlass::reference::host::detail::TensorFillDiagonalFunc</a></div><div class="ttdoc">< Layout function </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:494</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4_html_aa894090fefa7f3cc99ec66f5b6e7b7ac"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#aa894090fefa7f3cc99ec66f5b6e7b7ac">cutlass::reference::host::detail::RandomUniformFunc< complex< Element > >::RandomUniformFunc</a></div><div class="ttdeci">RandomUniformFunc(uint64_t seed_=0, double max=1, double min_=0, int int_scale_=-1)</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:363</div></div>
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<div class="ttc" id="complex_8h_html"><div class="ttname"><a href="complex_8h.html">complex.h</a></div></div>
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<div class="ttc" id="structcutlass_1_1Distribution_html_a499f4023e0d42356ce71d38cc32bf92aa39890d8be86d514207259b1b5dca3ed5"><div class="ttname"><a href="structcutlass_1_1Distribution.html#a499f4023e0d42356ce71d38cc32bf92aa39890d8be86d514207259b1b5dca3ed5">cutlass::Distribution::Gaussian</a></div><div class="ttdef"><b>Definition:</b> distribution.h:40</div></div>
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<div class="ttc" id="structcutlass_1_1Distribution_html_afc30b6976acb39e54f061af1bf2870db"><div class="ttname"><a href="structcutlass_1_1Distribution.html#afc30b6976acb39e54f061af1bf2870db">cutlass::Distribution::uniform</a></div><div class="ttdeci">struct cutlass::Distribution::@18::@20 uniform</div><div class="ttdoc">Uniform distribution. </div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc_html_a4a75d3f07143d0a5d98e1d6f3115cfeb"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a4a75d3f07143d0a5d98e1d6f3115cfeb">cutlass::reference::host::detail::TensorFillFunc::TensorView</a></div><div class="ttdeci">TensorView< Element, Layout > TensorView</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:61</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc_html_aa4b7ce383219da51d8021a4c27b3a57b"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#aa4b7ce383219da51d8021a4c27b3a57b">cutlass::reference::host::detail::TensorFillDiagonalFunc::operator()</a></div><div class="ttdeci">void operator()(Coord< Layout::kRank > const &coord) const </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:517</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc_html_a027d9ae77e068454e8df798018276c18"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#a027d9ae77e068454e8df798018276c18">cutlass::reference::host::detail::TensorFillDiagonalFunc::diag</a></div><div class="ttdeci">Element diag</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:503</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_html_a0208d33ceb87f0fc273dc17a66a5e990"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a0208d33ceb87f0fc273dc17a66a5e990">cutlass::reference::host::detail::RandomGaussianFunc::operator()</a></div><div class="ttdeci">Element operator()() const </div><div class="ttdoc">Compute random value and update RNG state. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:132</div></div>
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<div class="ttc" id="structcutlass_1_1RealType_html_a1905f6f1044cfbf84f7345699246a6ca"><div class="ttname"><a href="structcutlass_1_1RealType.html#a1905f6f1044cfbf84f7345699246a6ca">cutlass::RealType::Type</a></div><div class="ttdeci">T Type</div><div class="ttdef"><b>Definition:</b> real.h:32</div></div>
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<div class="ttc" id="structcutlass_1_1Distribution_html_a07cb089b346ef06e198f6043128264fb"><div class="ttname"><a href="structcutlass_1_1Distribution.html#a07cb089b346ef06e198f6043128264fb">cutlass::Distribution::kind</a></div><div class="ttdeci">Kind kind</div><div class="ttdoc">Active variant kind. </div><div class="ttdef"><b>Definition:</b> distribution.h:64</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a81b0f81940ce0ecc0d486d2f45659f6e"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a81b0f81940ce0ecc0d486d2f45659f6e">cutlass::reference::host::TensorFill</a></div><div class="ttdeci">void TensorFill(TensorView< Element, Layout > dst, Element val=Element(0))</div><div class="ttdoc">Fills a tensor with a uniform value. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:92</div></div>
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<div class="ttc" id="classcutlass_1_1TensorView_html_a7d3914dd5042c9c40be9e21a7b4e9ece"><div class="ttname"><a href="classcutlass_1_1TensorView.html#a7d3914dd5042c9c40be9e21a7b4e9ece">cutlass::TensorView::extent</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE TensorCoord const & extent() const </div><div class="ttdoc">Returns the extent of the view (the size along each logical dimension). </div><div class="ttdef"><b>Definition:</b> tensor_view.h:167</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_html_ac39a320d0975f140d51cf2cd7dd53441"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#ac39a320d0975f140d51cf2cd7dd53441">cutlass::reference::host::detail::RandomUniformFunc::RandomUniformFunc</a></div><div class="ttdeci">RandomUniformFunc(uint64_t seed_=0, double max=1, double min_=0, int int_scale_=-1)</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:314</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4_html_a72b71664e9ddc5ce392e1db822cfdada"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a72b71664e9ddc5ce392e1db822cfdada">cutlass::reference::host::detail::RandomGaussianFunc< complex< Element > >::RandomGaussianFunc</a></div><div class="ttdeci">RandomGaussianFunc(uint64_t seed_=0, double mean_=0, double stddev_=1, int int_scale_=-1)</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:170</div></div>
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<div class="ttc" id="structcutlass_1_1Distribution_html_ada9c50671b405fabbb0841a093f809de"><div class="ttname"><a href="structcutlass_1_1Distribution.html#ada9c50671b405fabbb0841a093f809de">cutlass::Distribution::gaussian</a></div><div class="ttdeci">struct cutlass::Distribution::@18::@21 gaussian</div><div class="ttdoc">Gaussian distribution. </div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4_html_a6a906b7ae9c17b6ebe2063d652f3ab50"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a6a906b7ae9c17b6ebe2063d652f3ab50">cutlass::reference::host::detail::RandomGaussianFunc< complex< Element > >::int_scale</a></div><div class="ttdeci">int int_scale</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:164</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc_html_a5fd28f9610e15afd33e1e8f56e1b9021"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a5fd28f9610e15afd33e1e8f56e1b9021">cutlass::reference::host::detail::TensorFillFunc::operator()</a></div><div class="ttdeci">void operator()(Coord< Layout::kRank > const &coord) const </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:79</div></div>
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<div class="ttc" id="namespacestd_html"><div class="ttname"><a href="namespacestd.html">std</a></div><div class="ttdoc">STL namespace. </div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc_html_a11580631bdb3106d4edd768a76f6ca6f"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a11580631bdb3106d4edd768a76f6ca6f">cutlass::reference::host::detail::TensorUpdateOffDiagonalFunc::view</a></div><div class="ttdeci">TensorView view</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:605</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a1c81144ca36832a48d04d1b5b6498080"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a1c81144ca36832a48d04d1b5b6498080">cutlass::reference::host::TensorFillDiagonal</a></div><div class="ttdeci">void TensorFillDiagonal(TensorView< Element, Layout > dst, Element diag=Element(1), Element other=Element(0))</div><div class="ttdoc">Fills a tensor everywhere with a unique value for its diagonal. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:540</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc_html"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html">cutlass::reference::host::detail::TensorFillLinearFunc</a></div><div class="ttdoc">< Layout function </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:667</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_html_a4c9943f36faab7d4928b1f130d0b784c"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a4c9943f36faab7d4928b1f130d0b784c">cutlass::reference::host::detail::RandomGaussianFunc::int_scale</a></div><div class="ttdeci">int int_scale</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:115</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc_html"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html">cutlass::reference::host::detail::TensorUpdateOffDiagonalFunc</a></div><div class="ttdoc">< Layout function </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:597</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4_html_ad0de7d4946af855288d7f9cccb9a18eb"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#ad0de7d4946af855288d7f9cccb9a18eb">cutlass::reference::host::detail::RandomUniformFunc< complex< Element > >::int_scale</a></div><div class="ttdeci">int int_scale</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:357</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a29548cb522d9c147cf34263ecac75d89"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a29548cb522d9c147cf34263ecac75d89">cutlass::reference::host::TensorFillIdentity</a></div><div class="ttdeci">void TensorFillIdentity(TensorView< Element, Layout > dst)</div><div class="ttdoc">Helper to fill a tensor&#39;s diagonal with 1 and 0 everywhere else. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:564</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4_html_a6ef7020f1108432fe51853dffb7e727c"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#a6ef7020f1108432fe51853dffb7e727c">cutlass::reference::host::detail::RandomUniformFunc< complex< Element > >::operator()</a></div><div class="ttdeci">complex< Element > operator()() const </div><div class="ttdoc">Compute random value and update RNG state. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:375</div></div>
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<div class="ttc" id="namespacecutlass_html_a67f9e83dd59615eff837ea66984c121c"><div class="ttname"><a href="namespacecutlass.html#a67f9e83dd59615eff837ea66984c121c">cutlass::log</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE complex< T > log(complex< T > const &z)</div><div class="ttdoc">Computes the complex exponential of z. </div><div class="ttdef"><b>Definition:</b> complex.h:381</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc_html_a4e447a80bd94cde69fa66f9e9d882b28"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#a4e447a80bd94cde69fa66f9e9d882b28">cutlass::reference::host::detail::TensorFillGaussianFunc::operator()</a></div><div class="ttdeci">void operator()(Coord< Layout::kRank > const &coord) const </div><div class="ttdoc">Compute random value and update RNG state. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:236</div></div>
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<div class="ttc" id="array_8h_html"><div class="ttname"><a href="array_8h.html">array.h</a></div><div class="ttdoc">Statically sized array of elements that accommodates all CUTLASS-supported numeric types and is safe ...</div></div>
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<div class="ttc" id="cutlass_8h_html_a4b1c9f25ab6eaa25e1f2258dd63e6ce4"><div class="ttname"><a href="cutlass_8h.html#a4b1c9f25ab6eaa25e1f2258dd63e6ce4">CUTLASS_PRAGMA_UNROLL</a></div><div class="ttdeci">#define CUTLASS_PRAGMA_UNROLL</div><div class="ttdef"><b>Definition:</b> cutlass.h:110</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_html_a5da7c7b953aa178bb356ba8578245d89"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a5da7c7b953aa178bb356ba8578245d89">cutlass::reference::host::detail::RandomGaussianFunc::mean</a></div><div class="ttdeci">double mean</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:113</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a6d146dc0390e4c045f08b5d2adfcf48a"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a6d146dc0390e4c045f08b5d2adfcf48a">cutlass::reference::host::TensorUpdateOffDiagonal</a></div><div class="ttdeci">void TensorUpdateOffDiagonal(TensorView< Element, Layout > dst, Element other=Element(1))</div><div class="ttdoc">Writes a uniform value to all elements in the tensor without modifying diagonal elements. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:643</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc_html_a83ca72169299439a087871b794750c38"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#a83ca72169299439a087871b794750c38">cutlass::reference::host::detail::TensorFillLinearFunc::s</a></div><div class="ttdeci">Element s</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:677</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc_html_aa47ca9b4e4187f4eee4f332b6cd855bb"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#aa47ca9b4e4187f4eee4f332b6cd855bb">cutlass::reference::host::detail::TensorFillLinearFunc::v</a></div><div class="ttdeci">Array< Element, Layout::kRank > v</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:676</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< Element, Layout ></a></div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4_html_abd7e66b999df7719f6ac77f0a82a0d5d"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#abd7e66b999df7719f6ac77f0a82a0d5d">cutlass::reference::host::detail::RandomUniformFunc< complex< Element > >::Real</a></div><div class="ttdeci">typename RealType< Element >::Type Real</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:352</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc_html_a9c559d6186d27c3d343d92830e989832"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#a9c559d6186d27c3d343d92830e989832">cutlass::reference::host::detail::TensorFillGaussianFunc::view</a></div><div class="ttdeci">TensorView view</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:219</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a5187d9f07f2b1edebfbad067c7a84826"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a5187d9f07f2b1edebfbad067c7a84826">cutlass::reference::host::TensorFillRandomGaussian</a></div><div class="ttdeci">void TensorFillRandomGaussian(TensorView< Element, Layout > dst, uint64_t seed, double mean=0, double stddev=1, int bits=-1)</div><div class="ttdoc">Fills a tensor with random values with a Gaussian distribution. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:249</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4_html_a4c1cec1d0871654b9e3c5cf132099034"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a4c1cec1d0871654b9e3c5cf132099034">cutlass::reference::host::detail::RandomGaussianFunc< complex< Element > >::stddev</a></div><div class="ttdeci">double stddev</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:163</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4_html_a04ad19f3f63c0cba77a76a2ce243b727"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a04ad19f3f63c0cba77a76a2ce243b727">cutlass::reference::host::detail::RandomGaussianFunc< complex< Element > >::operator()</a></div><div class="ttdeci">complex< Element > operator()() const </div><div class="ttdoc">Compute random value and update RNG state. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:181</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_ac23a650217ddd1640807c2e91e69ab91"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#ac23a650217ddd1640807c2e91e69ab91">cutlass::reference::host::TensorFillLinear</a></div><div class="ttdeci">void TensorFillLinear(TensorView< Element, Layout > dst, Array< Element, Layout::kRank > const &v, Element s=Element(0))</div><div class="ttdoc">Fills tensor with a linear combination of its coordinate and another vector. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:715</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc_html"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html">cutlass::reference::host::detail::TensorFillGaussianFunc</a></div><div class="ttdoc">Computes a random Gaussian distribution. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:211</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_acbf747241e8ac6ef9b1702b735a7913e"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#acbf747241e8ac6ef9b1702b735a7913e">cutlass::reference::host::TensorUpdateDiagonal</a></div><div class="ttdeci">void TensorUpdateDiagonal(TensorView< Element, Layout > dst, Element val=Element(1))</div><div class="ttdoc">Writes a uniform value to the diagonal of a tensor without modifying off-diagonal elements...</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:577</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc_html_a92cd583574fa8f7c4b19aea08b380476"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#a92cd583574fa8f7c4b19aea08b380476">cutlass::reference::host::detail::TensorFillRandomUniformFunc::view</a></div><div class="ttdeci">TensorView view</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:412</div></div>
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<div class="ttc" id="structcutlass_1_1ReferenceFactory_html"><div class="ttname"><a href="structcutlass_1_1ReferenceFactory.html">cutlass::ReferenceFactory</a></div><div class="ttdef"><b>Definition:</b> subbyte_reference.h:557</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc_html_a660184169f203d2499799692b136d589"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#a660184169f203d2499799692b136d589">cutlass::reference::host::detail::TensorFillLinearFunc::operator()</a></div><div class="ttdeci">void operator()(Coord< Layout::kRank > const &coord) const </div><div class="ttdoc">Updates the tensor. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:694</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a121079d5cb24dd0e0339cee552a854de"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a121079d5cb24dd0e0339cee552a854de">cutlass::reference::host::BlockFillRandomGaussian</a></div><div class="ttdeci">void BlockFillRandomGaussian(Element *ptr, size_t capacity, uint64_t seed, double mean=0, double stddev=1, int bits=-1)</div><div class="ttdoc">Fills a tensor with random values with a Gaussian distribution. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:277</div></div>
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<div class="ttc" id="distribution_8h_html"><div class="ttname"><a href="distribution_8h.html">distribution.h</a></div><div class="ttdoc">This header contains a class to parametrize a statistical distribution function. </div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc_html_a6f88183d1f98e77cc1225efa92be128b"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#a6f88183d1f98e77cc1225efa92be128b">cutlass::reference::host::detail::TensorFillDiagonalFunc::view</a></div><div class="ttdeci">TensorView view</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:502</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc_html_ad52ccd0a3cd4685b52746abe5ad7df71"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#ad52ccd0a3cd4685b52746abe5ad7df71">cutlass::reference::host::detail::TensorFillFunc::value</a></div><div class="ttdeci">Element value</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:68</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_html_a09db614d063fec17a6a2fbe23389f10a"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a09db614d063fec17a6a2fbe23389f10a">cutlass::reference::host::detail::RandomUniformFunc::operator()</a></div><div class="ttdeci">Element operator()() const </div><div class="ttdoc">Compute random value and update RNG state. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:326</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_html"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html">cutlass::reference::host::detail::RandomUniformFunc</a></div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:301</div></div>
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<div class="ttc" id="numeric__types_8h_html"><div class="ttname"><a href="numeric__types_8h.html">numeric_types.h</a></div><div class="ttdoc">Top-level include for all CUTLASS numeric types. </div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc_html_aac8469e704c75d37224294fef6bc8983"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#aac8469e704c75d37224294fef6bc8983">cutlass::reference::host::detail::TensorFillLinearFunc::TensorFillLinearFunc</a></div><div class="ttdeci">TensorFillLinearFunc(TensorView const &view_, Array< Element, Layout::kRank > const &v_, Element s_=Element(0))</div><div class="ttdoc">Constructs functor. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:686</div></div>
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<div class="ttc" id="namespacecutlass_1_1platform_html_a57c071d2a7305dd4ec60542e66b0c81c"><div class="ttname"><a href="namespacecutlass_1_1platform.html#a57c071d2a7305dd4ec60542e66b0c81c">cutlass::platform::min</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE constexpr const T & min(const T &a, const T &b)</div><div class="ttdoc">std::min </div><div class="ttdef"><b>Definition:</b> platform.h:183</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_html_a6b96ec27d0f7df4c4a1bd451b29a69fe"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a6b96ec27d0f7df4c4a1bd451b29a69fe">cutlass::reference::host::detail::RandomGaussianFunc::pi</a></div><div class="ttdeci">double pi</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:116</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc_html_a4b610b1ca5801a747afb4a2c5ad0fadd"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a4b610b1ca5801a747afb4a2c5ad0fadd">cutlass::reference::host::detail::TensorUpdateOffDiagonalFunc::operator()</a></div><div class="ttdeci">void operator()(Coord< Layout::kRank > const &coord) const </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:618</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4_html_a17c91db74ff727d9f42442c09d21d0b3"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#a17c91db74ff727d9f42442c09d21d0b3">cutlass::reference::host::detail::RandomUniformFunc< complex< Element > >::range</a></div><div class="ttdeci">double range</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:355</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a1808624141976837e298340c9f6c0f6b"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a1808624141976837e298340c9f6c0f6b">cutlass::reference::host::BlockFillSequential</a></div><div class="ttdeci">void BlockFillSequential(Element *ptr, int64_t capacity, Element v=Element(1), Element s=Element(0))</div><div class="ttdoc">Fills a block of data with sequential elements. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:761</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_html_a4138398f954d5dfd1e968caee2918835"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a4138398f954d5dfd1e968caee2918835">cutlass::reference::host::detail::RandomGaussianFunc::stddev</a></div><div class="ttdeci">double stddev</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:114</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4_html_a61f603633246ab86c8f46e6cbe0f257c"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a61f603633246ab86c8f46e6cbe0f257c">cutlass::reference::host::detail::RandomGaussianFunc< complex< Element > >::pi</a></div><div class="ttdeci">double pi</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:165</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc_html_a65a5f9c6873bea8c693b4b88087cba17"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a65a5f9c6873bea8c693b4b88087cba17">cutlass::reference::host::detail::TensorUpdateOffDiagonalFunc::TensorUpdateOffDiagonalFunc</a></div><div class="ttdeci">TensorUpdateOffDiagonalFunc(TensorView const &view_=TensorView(), Element other_=Element(0))</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:612</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_html"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html">cutlass::reference::host::detail::RandomGaussianFunc</a></div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:110</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4_html_a8239acd9e3b11b0b6a3f26f48f18b508"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#a8239acd9e3b11b0b6a3f26f48f18b508">cutlass::reference::host::detail::RandomGaussianFunc< complex< Element > >::seed</a></div><div class="ttdeci">uint64_t seed</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:161</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< Layout::kRank ></a></div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc_html_a4b365f33d4c2d36c2e8052965bc3c787"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#a4b365f33d4c2d36c2e8052965bc3c787">cutlass::reference::host::detail::TensorFillGaussianFunc::TensorFillGaussianFunc</a></div><div class="ttdeci">TensorFillGaussianFunc(TensorView view_=TensorView(), RandomGaussianFunc< Element > func_=RandomGaussianFunc< Element >())</div><div class="ttdoc">Construction of Gaussian RNG functor. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:227</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc_html_a05cc631b27ee842d78b48a4a1a16b943"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorUpdateOffDiagonalFunc.html#a05cc631b27ee842d78b48a4a1a16b943">cutlass::reference::host::detail::TensorUpdateOffDiagonalFunc::other</a></div><div class="ttdeci">Element other</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:606</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc_html_ac288b85512ed45e0180987bf5b85dd23"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#ac288b85512ed45e0180987bf5b85dd23">cutlass::reference::host::detail::TensorFillDiagonalFunc::TensorFillDiagonalFunc</a></div><div class="ttdeci">TensorFillDiagonalFunc(TensorView const &view_=TensorView(), Element diag_=Element(1), Element other_=Element(0))</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:510</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_html_a45ca53d7fcac978533361d8fc5f15311"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc.html#a45ca53d7fcac978533361d8fc5f15311">cutlass::reference::host::detail::RandomGaussianFunc::RandomGaussianFunc</a></div><div class="ttdeci">RandomGaussianFunc(uint64_t seed_=0, double mean_=0, double stddev_=1, int int_scale_=-1)</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:121</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc_html_a49d7728b3b07ddc6e063a8aedf2c292c"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a49d7728b3b07ddc6e063a8aedf2c292c">cutlass::reference::host::detail::TensorFillFunc::view</a></div><div class="ttdeci">TensorView view</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:67</div></div>
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<div class="ttc" id="classcutlass_1_1complex_html"><div class="ttname"><a href="classcutlass_1_1complex.html">cutlass::complex</a></div><div class="ttdef"><b>Definition:</b> complex.h:92</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4_html_a8065a5275af20c18429a8f279be98e97"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_3_01complex_3_01Element_01_4_01_4.html#a8065a5275af20c18429a8f279be98e97">cutlass::reference::host::detail::RandomUniformFunc< complex< Element > >::seed</a></div><div class="ttdeci">uint64_t seed</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:354</div></div>
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<div class="ttc" id="classcutlass_1_1TensorRef_html_a8758907a1c9b1fcd00e7ece626d03b76"><div class="ttname"><a href="classcutlass_1_1TensorRef.html#a8758907a1c9b1fcd00e7ece626d03b76">cutlass::TensorRef::at</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE Reference at(TensorCoord const &coord) const </div><div class="ttdoc">Returns a reference to the element at a given Coord. </div><div class="ttdef"><b>Definition:</b> tensor_ref.h:307</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_html_ab65f9bd7b329d6ce077daf50fb3148f1"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#ab65f9bd7b329d6ce077daf50fb3148f1">cutlass::reference::host::detail::RandomUniformFunc::range</a></div><div class="ttdeci">double range</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:306</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc_html_a7b3f05b29657f968969b15bd6af4b4c1"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#a7b3f05b29657f968969b15bd6af4b4c1">cutlass::reference::host::detail::TensorFillLinearFunc::TensorFillLinearFunc</a></div><div class="ttdeci">TensorFillLinearFunc()</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:683</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a417152b59865d2ef6995ee2398bcea8d"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a417152b59865d2ef6995ee2398bcea8d">cutlass::reference::host::BlockFillRandomUniform</a></div><div class="ttdeci">void BlockFillRandomUniform(Element *ptr, size_t capacity, uint64_t seed, double max=1, double min=0, int bits=-1)</div><div class="ttdoc">Fills a tensor with random values with a uniform random distribution. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:470</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc_html_a9272276afdeec7284dfcc6605f153c97"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#a9272276afdeec7284dfcc6605f153c97">cutlass::reference::host::detail::TensorFillRandomUniformFunc::func</a></div><div class="ttdeci">RandomUniformFunc< Element > func</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:413</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="namespacecutlass_1_1reference_1_1host_html_a8f1500a3e2cb694323bf9d25bafc0fbc"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a8f1500a3e2cb694323bf9d25bafc0fbc">cutlass::reference::host::TensorFillRandomUniform</a></div><div class="ttdeci">void TensorFillRandomUniform(TensorView< Element, Layout > dst, uint64_t seed, double max=1, double min=0, int bits=-1)</div><div class="ttdoc">Fills a tensor with random values with a uniform random distribution. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:443</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_a224f376c3199603bde4ededa4357eea3"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#a224f376c3199603bde4ededa4357eea3">cutlass::reference::host::TensorCopyDiagonalIn</a></div><div class="ttdeci">void TensorCopyDiagonalIn(TensorView< Element, Layout > dst, Element const *ptr)</div><div class="ttdoc">Copies a diagonal in from host memory without modifying off-diagonal elements. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:817</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_html_ab3de08baeb9246f5472a1c8ec19c68fa"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#ab3de08baeb9246f5472a1c8ec19c68fa">cutlass::reference::host::detail::RandomUniformFunc::min</a></div><div class="ttdeci">double min</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:307</div></div>
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<div class="ttc" id="structcutlass_1_1Distribution_html"><div class="ttname"><a href="structcutlass_1_1Distribution.html">cutlass::Distribution</a></div><div class="ttdoc">Distribution type. </div><div class="ttdef"><b>Definition:</b> distribution.h:38</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc_html_aa6cc9355b27c1d33e351a31bcf4aece7"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillGaussianFunc.html#aa6cc9355b27c1d33e351a31bcf4aece7">cutlass::reference::host::detail::TensorFillGaussianFunc::func</a></div><div class="ttdeci">RandomGaussianFunc< Element > func</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:220</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_ad6e2cd99b8096eaaf79c0a6edbd3e420"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#ad6e2cd99b8096eaaf79c0a6edbd3e420">cutlass::reference::host::TensorFillSequential</a></div><div class="ttdeci">void TensorFillSequential(TensorView< Element, Layout > dst, Element s=Element(0))</div><div class="ttdoc">Fills tensor with a linear combination of its coordinate and another vector. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:738</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc_html"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html">cutlass::reference::host::detail::TensorFillFunc</a></div><div class="ttdoc">< Layout function </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:59</div></div>
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<div class="ttc" id="structcutlass_1_1Distribution_html_a676b1d8b87691b4218f6ed308e6adfc1"><div class="ttname"><a href="structcutlass_1_1Distribution.html#a676b1d8b87691b4218f6ed308e6adfc1">cutlass::Distribution::int_scale</a></div><div class="ttdeci">int int_scale</div><div class="ttdoc">Random values are cast to integer after scaling by this power of two. </div><div class="ttdef"><b>Definition:</b> distribution.h:67</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc_html_a55353997540e39108d75456f681a703d"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillFunc.html#a55353997540e39108d75456f681a703d">cutlass::reference::host::detail::TensorFillFunc::TensorFillFunc</a></div><div class="ttdeci">TensorFillFunc(TensorView const &view_=TensorView(), Element value_=Element(0))</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:74</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc_html"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html">cutlass::reference::host::detail::TensorFillRandomUniformFunc</a></div><div class="ttdoc">Computes a random Gaussian distribution. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:404</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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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4_html_ad8c60b0630a2867fd80a0d09a3cf63cd"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomGaussianFunc_3_01complex_3_01Element_01_4_01_4.html#ad8c60b0630a2867fd80a0d09a3cf63cd">cutlass::reference::host::detail::RandomGaussianFunc< complex< Element > >::mean</a></div><div class="ttdeci">double mean</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:162</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc_html_aabd6c175d26c7c370aa7f67034e9c323"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillLinearFunc.html#aabd6c175d26c7c370aa7f67034e9c323">cutlass::reference::host::detail::TensorFillLinearFunc::view</a></div><div class="ttdeci">TensorView view</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:675</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_html_a4cd2d49c1b0042dfa83ead210eec12f7"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a4cd2d49c1b0042dfa83ead210eec12f7">cutlass::reference::host::detail::RandomUniformFunc::seed</a></div><div class="ttdeci">uint64_t seed</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:305</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc_html_aa192b9b11c26dff5b0279fff30e3731c"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillRandomUniformFunc.html#aa192b9b11c26dff5b0279fff30e3731c">cutlass::reference::host::detail::TensorFillRandomUniformFunc::TensorFillRandomUniformFunc</a></div><div class="ttdeci">TensorFillRandomUniformFunc(TensorView view_=TensorView(), RandomUniformFunc< Element > func_=RandomUniformFunc< Element >())</div><div class="ttdoc">Construction of Gaussian RNG functor. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:420</div></div>
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<div class="ttc" id="namespacecutlass_html_a28f05d94dbdfc97cddbeab3a5d23839d"><div class="ttname"><a href="namespacecutlass.html#a28f05d94dbdfc97cddbeab3a5d23839d">cutlass::sqrt</a></div><div class="ttdeci">CUTLASS_HOST_DEVICE complex< T > sqrt(complex< T > const &z)</div><div class="ttdoc">Computes the square root of complex number z. </div><div class="ttdef"><b>Definition:</b> complex.h:393</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc_html_a9b410cf9a05a34317a83cce730f9a348"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1RandomUniformFunc.html#a9b410cf9a05a34317a83cce730f9a348">cutlass::reference::host::detail::RandomUniformFunc::int_scale</a></div><div class="ttdeci">int int_scale</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:308</div></div>
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<div class="ttc" id="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc_html_ab5fdecc2fd8df736bf4efe884a8e873e"><div class="ttname"><a href="structcutlass_1_1reference_1_1host_1_1detail_1_1TensorFillDiagonalFunc.html#ab5fdecc2fd8df736bf4efe884a8e873e">cutlass::reference::host::detail::TensorFillDiagonalFunc::other</a></div><div class="ttdeci">Element other</div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:504</div></div>
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<div class="ttc" id="namespacecutlass_1_1reference_1_1host_html_ae6171d78c959aefff277cec4cad8fdb3"><div class="ttname"><a href="namespacecutlass_1_1reference_1_1host.html#ae6171d78c959aefff277cec4cad8fdb3">cutlass::reference::host::BlockFillRandom</a></div><div class="ttdeci">void BlockFillRandom(Element *ptr, size_t capacity, uint64_t seed, Distribution dist)</div><div class="ttdoc">Fills a block of data with sequential elements. </div><div class="ttdef"><b>Definition:</b> host/tensor_fill.h:784</div></div>
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<div class="ttc" id="host_2tensor__foreach_8h_html"><div class="ttname"><a href="host_2tensor__foreach_8h.html">tensor_foreach.h</a></div></div>
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