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<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) 2015-present, Facebook, Inc.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * All rights reserved.</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> *</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> * This source code is licensed under the BSD+Patents license found in the</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment">// Copyright 2004-present Facebook. All Rights Reserved.</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "Distance.cuh"</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "BroadcastSum.cuh"</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "L2Norm.cuh"</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "L2Select.cuh"</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include "../../FaissAssert.h"</span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include "../GpuResources.h"</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include "../utils/DeviceUtils.h"</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="preprocessor">#include "../utils/Limits.cuh"</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include "../utils/MatrixMult.cuh"</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include "../utils/BlockSelectKernel.cuh"</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <memory></span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <thrust/fill.h></span></div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <thrust/for_each.h></span></div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <thrust/device_ptr.h></span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <thrust/execution_policy.h></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">namespace </span>{</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> Tensor<T, 2, true> sliceCentroids(Tensor<T, 2, true>& centroids,</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  Tensor<T, 2, true>* centroidsTransposed,</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordtype">int</span> startCentroid,</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordtype">int</span> num) {</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">if</span> (startCentroid == 0 && num == centroids.getSize(0)) {</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">if</span> (centroidsTransposed) {</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">return</span> *centroidsTransposed;</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">return</span> centroids;</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  }</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  }</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">if</span> (centroidsTransposed) {</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="comment">// (dim, num)</span></div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">return</span> centroidsTransposed->narrow(1, startCentroid, num);</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> centroids.narrow(0, startCentroid, num);</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  }</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> }</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment">// For each chunk of k indices, increment the index by chunk * increment</span></div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> __global__ <span class="keywordtype">void</span> incrementIndex(Tensor<T, 2, true> indices,</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">int</span> increment) {</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = threadIdx.x; i < k; i += blockDim.x) {</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  indices[blockIdx.y][blockIdx.x * k + i] += blockIdx.x * increment;</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  }</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> }</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">// Used to update result indices in distance computation where the number of</span></div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment">// centroids is high, and is tiled</span></div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keywordtype">void</span> runIncrementIndex(Tensor<T, 2, true>& indices,</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordtype">int</span> increment,</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  cudaStream_t stream) {</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  dim3 grid(indices.getSize(1) / k, indices.getSize(0));</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">int</span> block = std::min(k, 512);</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="comment">// should be exact</span></div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  FAISS_ASSERT(grid.x * k == indices.getSize(1));</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  incrementIndex<<<grid, block, 0, stream>>>(indices, k, increment);</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  cudaDeviceSynchronize();</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment">// If the inner size (dim) of the vectors is small, we want a larger query tile</span></div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment">// size, like 1024</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="keywordtype">void</span> chooseTileSize(<span class="keywordtype">int</span> numQueries,</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordtype">int</span> numCentroids,</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">int</span> dim,</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">int</span> elementSize,</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordtype">size_t</span> tempMemAvailable,</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordtype">int</span>& tileRows,</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordtype">int</span>& tileCols) {</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// The matrix multiplication should be large enough to be efficient, but if it</span></div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// is too large, we seem to lose efficiency as opposed to double-streaming.</span></div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// Each tile size here defines 1/2 of the memory use due to double streaming.</span></div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// We ignore available temporary memory, as that is adjusted independently by</span></div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// the user and can thus meet these requirements (or not).</span></div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// For <= 4 GB GPUs, prefer 512 MB of usage.</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// For <= 8 GB GPUs, prefer 768 MB of usage.</span></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// Otherwise, prefer 1 GB of usage.</span></div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">auto</span> totalMem = getCurrentDeviceProperties().totalGlobalMem;</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">int</span> targetUsage = 0;</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>  <span class="keywordflow">if</span> (totalMem <= ((<span class="keywordtype">size_t</span>) 4) * 1024 * 1024 * 1024) {</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  targetUsage = 512 * 1024 * 1024;</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (totalMem <= ((<span class="keywordtype">size_t</span>) 8) * 1024 * 1024 * 1024) {</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  targetUsage = 768 * 1024 * 1024;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  targetUsage = 1024 * 1024 * 1024;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  targetUsage /= 2 * elementSize;</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// 512 seems to be a batch size sweetspot for float32.</span></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// If we are on float16, increase to 512.</span></div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// If the k size (vec dim) of the matrix multiplication is small (<= 32),</span></div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="comment">// increase to 1024.</span></div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordtype">int</span> preferredTileRows = 512;</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">if</span> (dim <= 32) {</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  preferredTileRows = 1024;</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  }</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  tileRows = std::min(preferredTileRows, numQueries);</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="comment">// tileCols is the remainder size</span></div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  tileCols = std::min(targetUsage / preferredTileRows, numCentroids);</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> </div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span> }</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> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keywordtype">void</span> runDistance(<span class="keywordtype">bool</span> computeL2,</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  GpuResources* resources,</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  Tensor<T, 2, true>& centroids,</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  Tensor<T, 2, true>* centroidsTransposed,</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  Tensor<T, 1, true>* centroidNorms,</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  Tensor<T, 2, true>& queries,</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  Tensor<T, 2, true>& outDistances,</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  Tensor<int, 2, true>& outIndices,</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordtype">bool</span> useHgemm,</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordtype">bool</span> ignoreOutDistances) {</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  FAISS_ASSERT(outDistances.getSize(0) == queries.getSize(0));</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  FAISS_ASSERT(outIndices.getSize(0) == queries.getSize(0));</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  FAISS_ASSERT(outDistances.getSize(1) == k);</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  FAISS_ASSERT(outIndices.getSize(1) == k);</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">auto</span>& mem = resources->getMemoryManagerCurrentDevice();</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">auto</span> defaultStream = resources->getDefaultStreamCurrentDevice();</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="comment">// If we're quering against a 0 sized set, just return empty results</span></div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">if</span> (centroids.numElements() == 0) {</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  thrust::fill(thrust::cuda::par.on(defaultStream),</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  outDistances.data(), outDistances.end(),</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  Limits<T>::getMax());</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>  thrust::fill(thrust::cuda::par.on(defaultStream),</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  outIndices.data(), outIndices.end(),</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  -1);</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">return</span>;</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="comment">// L2: If ||c||^2 is not pre-computed, calculate it</span></div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  DeviceTensor<T, 1, true> cNorms;</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keywordflow">if</span> (computeL2 && !centroidNorms) {</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  cNorms = std::move(DeviceTensor<T, 1, true>(</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  mem,</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  {centroids.getSize(0)}, defaultStream));</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  runL2Norm(centroids, cNorms, <span class="keyword">true</span>, defaultStream);</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  centroidNorms = &cNorms;</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="comment">// Prepare norm vector ||q||^2; ||c||^2 is already pre-computed</span></div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordtype">int</span> qNormSize[1] = {queries.getSize(0)};</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  DeviceTensor<T, 1, true> queryNorms(mem, qNormSize, defaultStream);</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>  <span class="comment">// ||q||^2</span></div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">if</span> (computeL2) {</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  runL2Norm(queries, queryNorms, <span class="keyword">true</span>, defaultStream);</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> </div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="comment">// By default, aim to use up to 512 MB of memory for the processing, with both</span></div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="comment">// number of queries and number of centroids being at least 512.</span></div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordtype">int</span> tileRows = 0;</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordtype">int</span> tileCols = 0;</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  chooseTileSize(queries.getSize(0),</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  centroids.getSize(0),</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  queries.getSize(1),</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keyword">sizeof</span>(T),</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  mem.getSizeAvailable(),</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  tileRows,</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  tileCols);</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordtype">int</span> numColTiles = utils::divUp(centroids.getSize(0), tileCols);</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>  FAISS_ASSERT(k <= centroids.getSize(0));</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  FAISS_ASSERT(k <= 1024); <span class="comment">// select limitation</span></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>  <span class="comment">// Temporary output memory space we'll use</span></div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  DeviceTensor<T, 2, true> distanceBuf1(</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  mem, {tileRows, tileCols}, defaultStream);</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  DeviceTensor<T, 2, true> distanceBuf2(</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  mem, {tileRows, tileCols}, defaultStream);</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  DeviceTensor<T, 2, true>* distanceBufs[2] =</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  {&distanceBuf1, &distanceBuf2};</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  DeviceTensor<T, 2, true> outDistanceBuf1(</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  mem, {tileRows, numColTiles * k}, defaultStream);</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  DeviceTensor<T, 2, true> outDistanceBuf2(</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  mem, {tileRows, numColTiles * k}, defaultStream);</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  DeviceTensor<T, 2, true>* outDistanceBufs[2] =</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  {&outDistanceBuf1, &outDistanceBuf2};</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  DeviceTensor<int, 2, true> outIndexBuf1(</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  mem, {tileRows, numColTiles * k}, defaultStream);</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  DeviceTensor<int, 2, true> outIndexBuf2(</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  mem, {tileRows, numColTiles * k}, defaultStream);</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  DeviceTensor<int, 2, true>* outIndexBufs[2] =</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {&outIndexBuf1, &outIndexBuf2};</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keyword">auto</span> streams = resources->getAlternateStreamsCurrentDevice();</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  streamWait(streams, {defaultStream});</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordtype">int</span> curStream = 0;</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="comment">// Tile over the input queries</span></div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < queries.getSize(0); i += tileRows) {</div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordtype">int</span> curQuerySize = std::min(tileRows, queries.getSize(0) - i);</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keyword">auto</span> outDistanceView =</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  outDistances.narrow(0, i, curQuerySize);</div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">auto</span> outIndexView =</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  outIndices.narrow(0, i, curQuerySize);</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keyword">auto</span> queryView =</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  queries.narrow(0, i, curQuerySize);</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="keyword">auto</span> queryNormNiew =</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  queryNorms.narrow(0, i, curQuerySize);</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keyword">auto</span> outDistanceBufRowView =</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  outDistanceBufs[curStream]->narrow(0, 0, curQuerySize);</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keyword">auto</span> outIndexBufRowView =</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  outIndexBufs[curStream]->narrow(0, 0, curQuerySize);</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="comment">// Tile over the centroids</span></div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> j = 0; j < centroids.getSize(0); j += tileCols) {</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordtype">int</span> curCentroidSize = std::min(tileCols, centroids.getSize(0) - j);</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordtype">int</span> curColTile = j / tileCols;</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keyword">auto</span> centroidsView =</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  sliceCentroids(centroids, centroidsTransposed, j, curCentroidSize);</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">auto</span> distanceBufView = distanceBufs[curStream]-></div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  narrow(0, 0, curQuerySize).narrow(1, 0, curCentroidSize);</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">auto</span> outDistanceBufColView =</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  outDistanceBufRowView.narrow(1, k * curColTile, k);</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">auto</span> outIndexBufColView =</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  outIndexBufRowView.narrow(1, k * curColTile, k);</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>  <span class="comment">// L2: distance is ||c||^2 - 2qc + ||q||^2, we compute -2qc</span></div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="comment">// IP: just compute qc</span></div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="comment">// (query id x dim) x (centroid id, dim)' = (query id, centroid id)</span></div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  runMatrixMult(distanceBufView, <span class="keyword">false</span>,</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  queryView, <span class="keyword">false</span>,</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  centroidsView,</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  centroidsTransposed ? <span class="keyword">false</span> : <span class="keyword">true</span>,</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  computeL2 ? -2.0f : 1.0f, 0.0f, useHgemm,</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  resources->getBlasHandleCurrentDevice(),</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  streams[curStream]);</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">if</span> (computeL2) {</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="comment">// For L2 distance, we use this fused kernel that performs both</span></div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="comment">// adding ||c||^2 to -2qc and k-selection, so we only need two</span></div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="comment">// passes (one write by the gemm, one read here) over the huge</span></div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="comment">// region of output memory</span></div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="comment">//</span></div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="comment">// If we aren't tiling along the number of centroids, we can perform the</span></div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="comment">// output work directly</span></div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">if</span> (tileCols == centroids.getSize(0)) {</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="comment">// Write into the final output</span></div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  runL2SelectMin(distanceBufView,</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  *centroidNorms,</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  outDistanceView,</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  outIndexView,</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  k,</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  streams[curStream]);</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">if</span> (!ignoreOutDistances) {</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="comment">// expand (query id) to (query id, k) by duplicating along rows</span></div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="comment">// top-k ||c||^2 - 2qc + ||q||^2 in the form (query id, k)</span></div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  runSumAlongRows(queryNormNiew, outDistanceView, streams[curStream]);</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  }</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keyword">auto</span> centroidNormsView =</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  centroidNorms->narrow(0, j, curCentroidSize);</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="comment">// Write into our intermediate output</span></div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  runL2SelectMin(distanceBufView,</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  centroidNormsView,</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  outDistanceBufColView,</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  outIndexBufColView,</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  k,</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  streams[curStream]);</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span> </div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordflow">if</span> (!ignoreOutDistances) {</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="comment">// expand (query id) to (query id, k) by duplicating along rows</span></div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="comment">// top-k ||c||^2 - 2qc + ||q||^2 in the form (query id, k)</span></div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  runSumAlongRows(queryNormNiew,</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  outDistanceBufColView,</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  streams[curStream]);</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  }</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  }</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="comment">// For IP, just k-select the output for this tile</span></div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">if</span> (tileCols == centroids.getSize(0)) {</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="comment">// Write into the final output</span></div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  runBlockSelect(distanceBufView,</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  outDistanceView,</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  outIndexView,</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keyword">true</span>, k, streams[curStream]);</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="comment">// Write into the intermediate output</span></div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  runBlockSelect(distanceBufView,</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  outDistanceBufColView,</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  outIndexBufColView,</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">true</span>, k, streams[curStream]);</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>  }</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  }</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  <span class="comment">// As we're finished with processing a full set of centroids, perform the</span></div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="comment">// final k-selection</span></div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">if</span> (tileCols != centroids.getSize(0)) {</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="comment">// The indices are tile-relative; for each tile of k, we need to add</span></div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="comment">// tileCols to the index</span></div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  runIncrementIndex(outIndexBufRowView, k, tileCols, streams[curStream]);</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  runBlockSelectPair(outDistanceBufRowView,</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  outIndexBufRowView,</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  outDistanceView,</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  outIndexView,</div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  computeL2 ? <span class="keyword">false</span> : <span class="keyword">true</span>, k, streams[curStream]);</div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  }</div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span> </div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  curStream = (curStream + 1) % 2;</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  }</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span> </div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="comment">// Have the desired ordering stream wait on the multi-stream</span></div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  streamWait({defaultStream}, streams);</div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span> }</div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span> </div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span> <span class="keywordtype">void</span> runL2Distance(GpuResources* resources,</div>
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  Tensor<T, 2, true>& centroids,</div>
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  Tensor<T, 2, true>* centroidsTransposed,</div>
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  Tensor<T, 1, true>* centroidNorms,</div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  Tensor<T, 2, true>& queries,</div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  Tensor<T, 2, true>& outDistances,</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  Tensor<int, 2, true>& outIndices,</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordtype">bool</span> useHgemm,</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordtype">bool</span> ignoreOutDistances = <span class="keyword">false</span>) {</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  runDistance<T>(<span class="keyword">true</span>, <span class="comment">// L2</span></div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  resources,</div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  centroids,</div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  centroidsTransposed,</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  centroidNorms,</div>
<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  queries,</div>
<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  k,</div>
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  outDistances,</div>
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  outIndices,</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  useHgemm,</div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  ignoreOutDistances);</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> </div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="keywordtype">void</span> runIPDistance(GpuResources* resources,</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  Tensor<T, 2, true>& centroids,</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  Tensor<T, 2, true>* centroidsTransposed,</div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  Tensor<T, 2, true>& queries,</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  Tensor<T, 2, true>& outDistances,</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  Tensor<int, 2, true>& outIndices,</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordtype">bool</span> useHgemm) {</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  runDistance<T>(<span class="keyword">false</span>, <span class="comment">// IP</span></div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  resources,</div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  centroids,</div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  centroidsTransposed,</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="keyword">nullptr</span>,</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  queries,</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  k,</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  outDistances,</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  outIndices,</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  useHgemm,</div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="keyword">false</span>);</div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span> }</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span> <span class="comment">//</span></div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span> <span class="comment">// Instantiations of the distance templates</span></div>
<div class="line"><a name="l00404"></a><span class="lineno"> 404</span> <span class="comment">//</span></div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span> runIPDistance(GpuResources* resources,</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  Tensor<float, 2, true>& vectors,</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  Tensor<float, 2, true>* vectorsTransposed,</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  Tensor<float, 2, true>& queries,</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  Tensor<float, 2, true>& outDistances,</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  Tensor<int, 2, true>& outIndices) {</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  runIPDistance<float>(resources,</div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  vectors,</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  vectorsTransposed,</div>
<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  queries,</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  k,</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  outDistances,</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  outIndices,</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keyword">false</span>);</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span> }</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> <span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <span class="preprocessor"></span><span class="keywordtype">void</span></div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span> runIPDistance(GpuResources* resources,</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  Tensor<half, 2, true>& vectors,</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  Tensor<half, 2, true>* vectorsTransposed,</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  Tensor<half, 2, true>& queries,</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  Tensor<half, 2, true>& outDistances,</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  Tensor<int, 2, true>& outIndices,</div>
<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  <span class="keywordtype">bool</span> useHgemm) {</div>
<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  runIPDistance<half>(resources,</div>
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  vectors,</div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  vectorsTransposed,</div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  queries,</div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  k,</div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  outDistances,</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  outIndices,</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  useHgemm);</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span> }</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span> <span class="keywordtype">void</span></div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span> runL2Distance(GpuResources* resources,</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  Tensor<float, 2, true>& vectors,</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  Tensor<float, 2, true>* vectorsTransposed,</div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  Tensor<float, 1, true>* vectorNorms,</div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  Tensor<float, 2, true>& queries,</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  Tensor<float, 2, true>& outDistances,</div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  Tensor<int, 2, true>& outIndices,</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keywordtype">bool</span> ignoreOutDistances) {</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  runL2Distance<float>(resources,</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  vectors,</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  vectorsTransposed,</div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  vectorNorms,</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  queries,</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  k,</div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  outDistances,</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  outIndices,</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">false</span>,</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  ignoreOutDistances);</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span> }</div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span> </div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span> <span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span> <span class="preprocessor"></span><span class="keywordtype">void</span></div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span> runL2Distance(GpuResources* resources,</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  Tensor<half, 2, true>& vectors,</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  Tensor<half, 2, true>* vectorsTransposed,</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  Tensor<half, 1, true>* vectorNorms,</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  Tensor<half, 2, true>& queries,</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordtype">int</span> k,</div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  Tensor<half, 2, true>& outDistances,</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  Tensor<int, 2, true>& outIndices,</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordtype">bool</span> useHgemm,</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordtype">bool</span> ignoreOutDistances) {</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  runL2Distance<half>(resources,</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  vectors,</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  vectorsTransposed,</div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  vectorNorms,</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  queries,</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  k,</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  outDistances,</div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  outIndices,</div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  useHgemm,</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  ignoreOutDistances);</div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span> }</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span> <span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span> } } <span class="comment">// namespace</span></div>
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