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0df3f646fc
various bugfixes from github issues kmean with some frozen centroids GPU better tiling for large flat datasets default AVX for vector ops
239 lines
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239 lines
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<li class="navelem"><a class="el" href="dir_6b3ae6988449b0834e9596fad5d75199.html">gpu</a></li><li class="navelem"><a class="el" href="dir_49d1182a3b8dfb62757c53ae905481ad.html">impl</a></li> </ul>
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<div class="title">FlatIndex.cuh</div> </div>
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<div class="contents">
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/**</span></div>
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<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2015-present, Facebook, Inc.</span></div>
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<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * All rights reserved.</span></div>
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<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> *</span></div>
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<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>
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<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>
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<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> */</span></div>
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<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div>
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<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment">// Copyright 2004-present Facebook. All Rights Reserved.</span></div>
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<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div>
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<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#pragma once</span></div>
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<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor"></span></div>
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<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "../utils/DeviceTensor.cuh"</span></div>
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<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "../utils/DeviceVector.cuh"</span></div>
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<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include "../utils/Float16.cuh"</span></div>
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<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include "../utils/MemorySpace.h"</span></div>
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<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div>
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<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
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<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div>
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<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">class </span>GpuResources;</div>
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<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"></span></div>
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<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">/// Holder of GPU resources for a particular flat index</span></div>
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<div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1FlatIndex.html"> 23</a></span> <span class="comment"></span><span class="keyword">class </span><a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html">FlatIndex</a> {</div>
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<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">public</span>:</div>
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<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html">FlatIndex</a>(<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* res,</div>
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<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keywordtype">int</span> dim,</div>
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<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordtype">bool</span> l2Distance,</div>
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<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordtype">bool</span> useFloat16,</div>
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<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordtype">bool</span> useFloat16Accumulator,</div>
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<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordtype">bool</span> storeTransposed,</div>
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<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  MemorySpace space);</div>
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<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div>
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<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordtype">bool</span> getUseFloat16() <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"></span></div>
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<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"> /// Returns the number of vectors we contain</span></div>
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<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"></span> <span class="keywordtype">int</span> <a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a6988df17792dae30f24cc859728777e6">getSize</a>() <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div>
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<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordtype">int</span> getDim() <span class="keyword">const</span>;</div>
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<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"></span></div>
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<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> /// Reserve storage that can contain at least this many vectors</span></div>
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<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a7a06b678b97e3732939f6a4fb5106ef6">reserve</a>(<span class="keywordtype">size_t</span> numVecs, cudaStream_t stream);</div>
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<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"></span></div>
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<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"> /// Returns a reference to our vectors currently in use</span></div>
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<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"></span> <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor<float, 2, true></a>& <a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06">getVectorsFloat32Ref</a>();</div>
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<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div>
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<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
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<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor"></span><span class="comment"> /// Returns a reference to our vectors currently in use (useFloat16 mode)</span></div>
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<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"></span> <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor<half, 2, true></a>& getVectorsFloat16Ref();</div>
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<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor">#endif</span></div>
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<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor"></span><span class="comment"></span></div>
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<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> /// Performs a copy of the vectors on the given device, converting</span></div>
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<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> /// as needed from float16</span></div>
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<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"></span> <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor<float, 2, true></a> <a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a258b0dd61a9c352ec7d68fa8bac0d7ad">getVectorsFloat32Copy</a>(cudaStream_t stream);</div>
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<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"></span></div>
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<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> /// Returns only a subset of the vectors</span></div>
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<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"></span> <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor<float, 2, true></a> <a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#a258b0dd61a9c352ec7d68fa8bac0d7ad">getVectorsFloat32Copy</a>(<span class="keywordtype">int</span> from,</div>
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<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">int</span> num,</div>
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<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  cudaStream_t stream);</div>
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<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div>
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<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">void</span> query(<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor<float, 2, true></a>& vecs,</div>
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<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordtype">int</span> k,</div>
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<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor<float, 2, true></a>& outDistances,</div>
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<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor<int, 2, true></a>& outIndices,</div>
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<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">bool</span> exactDistance);</div>
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<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div>
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<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
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<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor"></span> <span class="keywordtype">void</span> query(<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor<half, 2, true></a>& vecs,</div>
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<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordtype">int</span> k,</div>
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<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor<half, 2, true></a>& outDistances,</div>
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<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor<int, 2, true></a>& outIndices,</div>
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<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordtype">bool</span> exactDistance);</div>
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<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="preprocessor">#endif</span></div>
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<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="preprocessor"></span><span class="comment"></span></div>
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<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment"> /// Add vectors to ourselves; the pointer passed can be on the host</span></div>
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<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"> /// or the device</span></div>
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<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#ab91c9ddf7dd258620f424619cb029e22">add</a>(<span class="keyword">const</span> <span class="keywordtype">float</span>* data, <span class="keywordtype">int</span> numVecs, cudaStream_t stream);</div>
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<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"></span></div>
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<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"> /// Free all storage</span></div>
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<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1FlatIndex.html#ae06cb2ffd46659b6639b97297546096e">reset</a>();</div>
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<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div>
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<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">private</span>:<span class="comment"></span></div>
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<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> /// Collection of GPU resources that we use</span></div>
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<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"></span> <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>* resources_;</div>
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<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"></span></div>
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<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> /// Dimensionality of our vectors</span></div>
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<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"></span> <span class="keyword">const</span> <span class="keywordtype">int</span> dim_;</div>
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<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"></span></div>
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<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"> /// Float16 data format</span></div>
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<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"></span> <span class="keyword">const</span> <span class="keywordtype">bool</span> useFloat16_;</div>
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<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"></span></div>
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<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment"> /// For supporting hardware, whether or not we use Hgemm</span></div>
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<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment"></span> <span class="keyword">const</span> <span class="keywordtype">bool</span> useFloat16Accumulator_;</div>
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<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"></span></div>
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<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"> /// Store vectors in transposed layout for speed; makes addition to</span></div>
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<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"> /// the index slower</span></div>
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<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"></span> <span class="keyword">const</span> <span class="keywordtype">bool</span> storeTransposed_;</div>
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<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"></span></div>
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<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> /// L2 or inner product distance?</span></div>
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<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"></span> <span class="keywordtype">bool</span> l2Distance_;</div>
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<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"></span></div>
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<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"> /// Memory space for our allocations</span></div>
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<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"></span> MemorySpace space_;</div>
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<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"></span></div>
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<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> /// How many vectors we have</span></div>
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<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"></span> <span class="keywordtype">int</span> num_;</div>
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<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment"></span></div>
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<div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment"> /// The underlying expandable storage</span></div>
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<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"></span> <a class="code" href="classfaiss_1_1gpu_1_1DeviceVector.html">DeviceVector<char></a> rawData_;</div>
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<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"></span></div>
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<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment"> /// Vectors currently in rawData_</span></div>
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<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"></span> <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor<float, 2, true></a> vectors_;</div>
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<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor<float, 2, true></a> vectorsTransposed_;</div>
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<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div>
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<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
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<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="preprocessor"></span><span class="comment"> /// Vectors currently in rawData_, float16 form</span></div>
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<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment"></span> <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor<half, 2, true></a> vectorsHalf_;</div>
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<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor<half, 2, true></a> vectorsHalfTransposed_;</div>
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<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="preprocessor">#endif</span></div>
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<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="preprocessor"></span><span class="comment"></span></div>
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<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="comment"> /// Precomputed L2 norms</span></div>
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<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="comment"></span> <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor<float, 1, true></a> norms_;</div>
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<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div>
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<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="preprocessor">#ifdef FAISS_USE_FLOAT16</span></div>
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<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="preprocessor"></span><span class="comment"> /// Precomputed L2 norms, float16 form</span></div>
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<div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="comment"></span> <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor<half, 1, true></a> normsHalf_;</div>
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<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="preprocessor">#endif</span></div>
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<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="preprocessor"></span>};</div>
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<div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div>
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<div class="line"><a name="l00129"></a><span class="lineno"> 129</span> } } <span class="comment">// namespace</span></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_a258b0dd61a9c352ec7d68fa8bac0d7ad"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#a258b0dd61a9c352ec7d68fa8bac0d7ad">faiss::gpu::FlatIndex::getVectorsFloat32Copy</a></div><div class="ttdeci">DeviceTensor< float, 2, true > getVectorsFloat32Copy(cudaStream_t stream)</div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00091">FlatIndex.cu:91</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_a6988df17792dae30f24cc859728777e6"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#a6988df17792dae30f24cc859728777e6">faiss::gpu::FlatIndex::getSize</a></div><div class="ttdeci">int getSize() const </div><div class="ttdoc">Returns the number of vectors we contain. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00047">FlatIndex.cu:47</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html">faiss::gpu::FlatIndex</a></div><div class="ttdoc">Holder of GPU resources for a particular flat index. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cuh_source.html#l00023">FlatIndex.cuh:23</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html">faiss::gpu::GpuResources</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8h_source.html#l00023">GpuResources.h:23</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceVector_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceVector.html">faiss::gpu::DeviceVector< char ></a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_a7a06b678b97e3732939f6a4fb5106ef6"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#a7a06b678b97e3732939f6a4fb5106ef6">faiss::gpu::FlatIndex::reserve</a></div><div class="ttdeci">void reserve(size_t numVecs, cudaStream_t stream)</div><div class="ttdoc">Reserve storage that can contain at least this many vectors. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00068">FlatIndex.cu:68</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_ab91c9ddf7dd258620f424619cb029e22"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#ab91c9ddf7dd258620f424619cb029e22">faiss::gpu::FlatIndex::add</a></div><div class="ttdeci">void add(const float *data, int numVecs, cudaStream_t stream)</div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00195">FlatIndex.cu:195</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a></div><div class="ttdoc">Our tensor type. </div><div class="ttdef"><b>Definition:</b> <a href="Tensor_8cuh_source.html#l00030">Tensor.cuh:30</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_a12058744ffb3fbcbb047872449269c06"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06">faiss::gpu::FlatIndex::getVectorsFloat32Ref</a></div><div class="ttdeci">Tensor< float, 2, true > & getVectorsFloat32Ref()</div><div class="ttdoc">Returns a reference to our vectors currently in use. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00079">FlatIndex.cu:79</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1FlatIndex_html_ae06cb2ffd46659b6639b97297546096e"><div class="ttname"><a href="classfaiss_1_1gpu_1_1FlatIndex.html#ae06cb2ffd46659b6639b97297546096e">faiss::gpu::FlatIndex::reset</a></div><div class="ttdeci">void reset()</div><div class="ttdoc">Free all storage. </div><div class="ttdef"><b>Definition:</b> <a href="FlatIndex_8cu_source.html#l00269">FlatIndex.cu:269</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceTensor_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html">faiss::gpu::DeviceTensor< float, 2, true ></a></div></div>
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