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<li class="navelem"><a class="el" href="dir_5956a3e80a20e8e03eb577bedb92689f.html">gpu</a></li> </ul>
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<div class="title">GpuIndex.cu</div> </div>
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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) Facebook, Inc. and its affiliates.</span></div>
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<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div>
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<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * This source code is licensed under the MIT license found in the</span></div>
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<div class="line"><a name="l00005"></a><span class="lineno"> 5</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="l00006"></a><span class="lineno"> 6</span> <span class="comment"> */</span></div>
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<div class="line"><a name="l00007"></a><span class="lineno"> 7</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="preprocessor">#include "GpuIndex.h"</span></div>
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<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include "../FaissAssert.h"</span></div>
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<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "GpuResources.h"</span></div>
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<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "utils/CopyUtils.cuh"</span></div>
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<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "utils/DeviceUtils.h"</span></div>
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<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "utils/StaticUtils.h"</span></div>
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<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <limits></span></div>
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<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <memory></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> <span class="comment"></span></div>
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<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment">/// Default CPU search size for which we use paged copies</span></div>
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<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"></span>constexpr <span class="keywordtype">size_t</span> kMinPageSize = (size_t) 256 * 1024 * 1024;</div>
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<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"></span></div>
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<div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment">/// Size above which we page copies from the CPU to GPU (non-paged</span></div>
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<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment">/// memory usage)</span></div>
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<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="comment"></span>constexpr <span class="keywordtype">size_t</span> kNonPinnedPageSize = (size_t) 256 * 1024 * 1024;</div>
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<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div>
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<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment">// Default size for which we page add or search</span></div>
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<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> constexpr <span class="keywordtype">size_t</span> kAddPageSize = (size_t) 256 * 1024 * 1024;</div>
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<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> </div>
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<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment">// Or, maximum number of vectors to consider per page of add or search</span></div>
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<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> constexpr <span class="keywordtype">size_t</span> kAddVecSize = (size_t) 512 * 1024;</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="comment">// Use a smaller search size, as precomputed code usage on IVFPQ</span></div>
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<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment">// requires substantial amounts of memory</span></div>
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<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment">// FIXME: parameterize based on algorithm need</span></div>
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<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> constexpr <span class="keywordtype">size_t</span> kSearchVecSize = (size_t) 32 * 1024;</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> GpuIndex::GpuIndex(GpuResources* resources,</div>
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<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordtype">int</span> dims,</div>
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<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">faiss::MetricType</a> metric,</div>
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<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  GpuIndexConfig config) :</div>
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<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  Index(dims, metric),</div>
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<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  resources_(resources),</div>
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<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  device_(config.device),</div>
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<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  memorySpace_(config.memorySpace),</div>
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<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  minPagedSize_(kMinPageSize) {</div>
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<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  FAISS_THROW_IF_NOT_FMT(device_ < getNumDevices(),</div>
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<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="stringliteral">"Invalid GPU device %d"</span>, device_);</div>
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<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div>
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<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  FAISS_THROW_IF_NOT_MSG(dims > 0, <span class="stringliteral">"Invalid number of dimensions"</span>);</div>
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<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div>
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<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor">#ifdef FAISS_UNIFIED_MEM</span></div>
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<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor"></span> FAISS_THROW_IF_NOT_FMT(</div>
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<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  memorySpace_ == MemorySpace::Device ||</div>
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<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  (memorySpace_ == MemorySpace::Unified &&</div>
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<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  getFullUnifiedMemSupport(device_)),</div>
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<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="stringliteral">"Device %d does not support full CUDA 8 Unified Memory (CC 6.0+)"</span>,</div>
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<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  config.device);</div>
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<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor">#else</span></div>
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<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor"></span> FAISS_THROW_IF_NOT_MSG(memorySpace_ == MemorySpace::Device,</div>
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<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="stringliteral">"Must compile with CUDA 8+ for Unified Memory support"</span>);</div>
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<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor">#endif</span></div>
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<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor"></span></div>
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<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  FAISS_ASSERT(resources_);</div>
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<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  resources_->initializeForDevice(device_);</div>
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<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> }</div>
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<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div>
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<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="keywordtype">void</span></div>
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<div class="line"><a name="l00069"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndex.html#a6c82cbea6b02cc996d634f822c1d310b"> 69</a></span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a6c82cbea6b02cc996d634f822c1d310b">GpuIndex::setMinPagingSize</a>(<span class="keywordtype">size_t</span> size) {</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_1GpuIndex.html#a32a08664fc4dca2f9405e07ea5bc206f">minPagedSize_</a> = size;</div>
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<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> }</div>
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<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div>
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<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keywordtype">size_t</span></div>
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<div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndex.html#adbdc96814ff2d4390dfd860bd5918203"> 74</a></span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#adbdc96814ff2d4390dfd860bd5918203">GpuIndex::getMinPagingSize</a>()<span class="keyword"> const </span>{</div>
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<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">return</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a32a08664fc4dca2f9405e07ea5bc206f">minPagedSize_</a>;</div>
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<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> }</div>
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<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div>
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<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="keywordtype">void</span></div>
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<div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndex.html#af576341f6996b0e80e26b9748db51eb7"> 79</a></span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#af576341f6996b0e80e26b9748db51eb7">GpuIndex::add</a>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> n, <span class="keyword">const</span> <span class="keywordtype">float</span>* x) {</div>
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<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// Pass to add_with_ids</span></div>
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<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a47f6969fe60d82b8e3407557ba9eec88">add_with_ids</a>(n, x, <span class="keyword">nullptr</span>);</div>
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<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> }</div>
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<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div>
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<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="keywordtype">void</span></div>
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<div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndex.html#a47f6969fe60d82b8e3407557ba9eec88"> 85</a></span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a47f6969fe60d82b8e3407557ba9eec88">GpuIndex::add_with_ids</a>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> n,</div>
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<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
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<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* ids) {</div>
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<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  FAISS_THROW_IF_NOT_MSG(this-><a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>, <span class="stringliteral">"Index not trained"</span>);</div>
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<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div>
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<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="comment">// For now, only support <= max int results</span></div>
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<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  FAISS_THROW_IF_NOT_FMT(n <= (<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>) std::numeric_limits<int>::max(),</div>
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<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="stringliteral">"GPU index only supports up to %d indices"</span>,</div>
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<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  std::numeric_limits<int>::max());</div>
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<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div>
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<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">if</span> (n == 0) {</div>
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<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// nothing to add</span></div>
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<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">return</span>;</div>
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<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div>
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<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div>
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<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  std::vector<Index::idx_t> generatedIds;</div>
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<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div>
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<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// Generate IDs if we need them</span></div>
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<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">if</span> (!ids && <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a358cad8f80a9c4b3aff45f3f7c131d03">addImplRequiresIDs_</a>()) {</div>
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<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  generatedIds = std::vector<Index::idx_t>(n);</div>
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<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div>
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<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">for</span> (<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> i = 0; i < n; ++i) {</div>
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<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  generatedIds[i] = this-><a class="code" href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">ntotal</a> + i;</div>
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<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div>
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<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div>
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<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div>
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<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>);</div>
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<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  addPaged_((<span class="keywordtype">int</span>) n, x, ids ? ids : generatedIds.data());</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> </div>
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<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keywordtype">void</span></div>
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<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> GpuIndex::addPaged_(<span class="keywordtype">int</span> n,</div>
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<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
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<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keyword">const</span> <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* ids) {</div>
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<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordflow">if</span> (n > 0) {</div>
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|
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordtype">size_t</span> totalSize = (size_t) n * this-><a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>);</div>
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<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div>
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<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">if</span> (totalSize > kAddPageSize || n > kAddVecSize) {</div>
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|
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="comment">// How many vectors fit into kAddPageSize?</span></div>
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|
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordtype">size_t</span> maxNumVecsForPageSize =</div>
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<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  kAddPageSize / ((size_t) this-><a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>));</div>
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<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div>
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<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="comment">// Always add at least 1 vector, if we have huge vectors</span></div>
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|
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  maxNumVecsForPageSize = std::max(maxNumVecsForPageSize, (<span class="keywordtype">size_t</span>) 1);</div>
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<div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div>
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<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordtype">size_t</span> tileSize = std::min((<span class="keywordtype">size_t</span>) n, maxNumVecsForPageSize);</div>
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|
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  tileSize = std::min(tileSize, kSearchVecSize);</div>
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|
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div>
|
|
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < (size_t) n; i += tileSize) {</div>
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|
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordtype">size_t</span> curNum = std::min(tileSize, n - i);</div>
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<div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div>
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<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  addPage_(curNum,</div>
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|
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  x + i * (<span class="keywordtype">size_t</span>) this-><a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>,</div>
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<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  ids ? ids + i : <span class="keyword">nullptr</span>);</div>
|
|
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  }</div>
|
|
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  } <span class="keywordflow">else</span> {</div>
|
|
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  addPage_(n, x, ids);</div>
|
|
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div>
|
|
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  }</div>
|
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<div class="line"><a name="l00144"></a><span class="lineno"> 144</span> }</div>
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<div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div>
|
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<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="keywordtype">void</span></div>
|
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<div class="line"><a name="l00147"></a><span class="lineno"> 147</span> GpuIndex::addPage_(<span class="keywordtype">int</span> n,</div>
|
|
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
|
|
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">const</span> <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* ids) {</div>
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|
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="comment">// At this point, `x` can be resident on CPU or GPU, and `ids` may be resident</span></div>
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|
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="comment">// on CPU, GPU or may be null.</span></div>
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|
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">//</span></div>
|
|
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// Before continuing, we guarantee that all data will be resident on the GPU.</span></div>
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|
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keyword">auto</span> stream = <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>-><a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#aa0354aa570c24e17a9f8a6a45b153ed2">getDefaultStreamCurrentDevice</a>();</div>
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<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>  <span class="keyword">auto</span> vecs = toDevice<float, 2>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
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<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>,</div>
|
|
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keyword">const_cast<</span><span class="keywordtype">float</span>*<span class="keyword">></span>(x),</div>
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|
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  stream,</div>
|
|
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {n, this-><a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>});</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>  <span class="keywordflow">if</span> (ids) {</div>
|
|
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keyword">auto</span> indices = toDevice<Index::idx_t, 1>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
|
|
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>,</div>
|
|
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">const_cast<</span><a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>*<span class="keyword">></span>(ids),</div>
|
|
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  stream,</div>
|
|
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  {n});</div>
|
|
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div>
|
|
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#ae8479445214c5ef37adf154c138ce973">addImpl_</a>(n, vecs.data(), ids ? indices.data() : <span class="keyword">nullptr</span>);</div>
|
|
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  } <span class="keywordflow">else</span> {</div>
|
|
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#ae8479445214c5ef37adf154c138ce973">addImpl_</a>(n, vecs.data(), <span class="keyword">nullptr</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> }</div>
|
|
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div>
|
|
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="keywordtype">void</span></div>
|
|
<div class="line"><a name="l00176"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuIndex.html#a4564ff946e4339156173b39449562971"> 176</a></span> <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a4564ff946e4339156173b39449562971">GpuIndex::search</a>(<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> n,</div>
|
|
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
|
|
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a> k,</div>
|
|
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordtype">float</span>* distances,</div>
|
|
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* labels)<span class="keyword"> const </span>{</div>
|
|
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  FAISS_THROW_IF_NOT_MSG(this-><a class="code" href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">is_trained</a>, <span class="stringliteral">"Index not trained"</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>  <span class="comment">// For now, only support <= max int results</span></div>
|
|
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  FAISS_THROW_IF_NOT_FMT(n <= (<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>) std::numeric_limits<int>::max(),</div>
|
|
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <span class="stringliteral">"GPU index only supports up to %d indices"</span>,</div>
|
|
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  std::numeric_limits<int>::max());</div>
|
|
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div>
|
|
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="comment">// Maximum k-selection supported is based on the CUDA SDK</span></div>
|
|
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  FAISS_THROW_IF_NOT_FMT(k <= (<a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>) getMaxKSelection(),</div>
|
|
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="stringliteral">"GPU index only supports k <= %d (requested %d)"</span>,</div>
|
|
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  getMaxKSelection(),</div>
|
|
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  (<span class="keywordtype">int</span>) k); <span class="comment">// select limitation</span></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> (n == 0 || k == 0) {</div>
|
|
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="comment">// nothing to search</span></div>
|
|
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">return</span>;</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> </div>
|
|
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="classfaiss_1_1gpu_1_1DeviceScope.html">DeviceScope</a> scope(device_);</div>
|
|
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keyword">auto</span> stream = resources_->getDefaultStream(device_);</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>  <span class="comment">// We guarantee that the searchImpl_ will be called with device-resident</span></div>
|
|
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="comment">// pointers.</span></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>  <span class="comment">// The input vectors may be too large for the GPU, but we still</span></div>
|
|
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="comment">// assume that the output distances and labels are not.</span></div>
|
|
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">// Go ahead and make space for output distances and labels on the</span></div>
|
|
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// GPU.</span></div>
|
|
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="comment">// If we reach a point where all inputs are too big, we can add</span></div>
|
|
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="comment">// another level of tiling.</span></div>
|
|
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">auto</span> outDistances =</div>
|
|
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  toDevice<float, 2>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>, <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>, distances, stream,</div>
|
|
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  {(int) n, (<span class="keywordtype">int</span>) k});</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="keyword">auto</span> outLabels =</div>
|
|
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  toDevice<faiss::Index::idx_t, 2>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>, <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>, labels, stream,</div>
|
|
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  {(int) n, (<span class="keywordtype">int</span>) k});</div>
|
|
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div>
|
|
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordtype">bool</span> usePaged = <span class="keyword">false</span>;</div>
|
|
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div>
|
|
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">if</span> (getDeviceForAddress(x) == -1) {</div>
|
|
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="comment">// It is possible that the user is querying for a vector set size</span></div>
|
|
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="comment">// `x` that won't fit on the GPU.</span></div>
|
|
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="comment">// In this case, we will have to handle paging of the data from CPU</span></div>
|
|
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="comment">// -> GPU.</span></div>
|
|
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="comment">// Currently, we don't handle the case where the output data won't</span></div>
|
|
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="comment">// fit on the GPU (e.g., n * k is too large for the GPU memory).</span></div>
|
|
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordtype">size_t</span> dataSize = (size_t) n * this-><a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>);</div>
|
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<div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div>
|
|
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">if</span> (dataSize >= <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a32a08664fc4dca2f9405e07ea5bc206f">minPagedSize_</a>) {</div>
|
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<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  searchFromCpuPaged_(n, x, k,</div>
|
|
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  outDistances.data(),</div>
|
|
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  outLabels.data());</div>
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<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  usePaged = <span class="keyword">true</span>;</div>
|
|
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  }</div>
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<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  }</div>
|
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<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div>
|
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<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">if</span> (!usePaged) {</div>
|
|
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  searchNonPaged_(n, x, k,</div>
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|
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  outDistances.data(),</div>
|
|
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  outLabels.data());</div>
|
|
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  }</div>
|
|
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div>
|
|
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="comment">// Copy back if necessary</span></div>
|
|
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  fromDevice<float, 2>(outDistances, distances, stream);</div>
|
|
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  fromDevice<faiss::Index::idx_t, 2>(outLabels, labels, stream);</div>
|
|
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span> }</div>
|
|
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div>
|
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<div class="line"><a name="l00249"></a><span class="lineno"> 249</span> <span class="keywordtype">void</span></div>
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<div class="line"><a name="l00250"></a><span class="lineno"> 250</span> GpuIndex::searchNonPaged_(<span class="keywordtype">int</span> n,</div>
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<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
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<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordtype">int</span> k,</div>
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<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordtype">float</span>* outDistancesData,</div>
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|
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* outIndicesData)<span class="keyword"> const </span>{</div>
|
|
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keyword">auto</span> stream = resources_->getDefaultStream(device_);</div>
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|
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div>
|
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<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="comment">// Make sure arguments are on the device we desire; use temporary</span></div>
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|
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="comment">// memory allocations to move it if necessary</span></div>
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|
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">auto</span> vecs = toDevice<float, 2>(<a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">resources_</a>,</div>
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<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">device_</a>,</div>
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|
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">const_cast<</span><span class="keywordtype">float</span>*<span class="keyword">></span>(x),</div>
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|
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  stream,</div>
|
|
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  {n, (int) this-><a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>});</div>
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|
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div>
|
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<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a184c443785b715fd692b2b67aa71d687">searchImpl_</a>(n, vecs.data(), k, outDistancesData, outIndicesData);</div>
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|
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span> }</div>
|
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<div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div>
|
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<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="keywordtype">void</span></div>
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<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> GpuIndex::searchFromCpuPaged_(<span class="keywordtype">int</span> n,</div>
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<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">const</span> <span class="keywordtype">float</span>* x,</div>
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<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordtype">int</span> k,</div>
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<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordtype">float</span>* outDistancesData,</div>
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|
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <a class="code" href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">Index::idx_t</a>* outIndicesData)<span class="keyword"> const </span>{</div>
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|
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  Tensor<float, 2, true> outDistances(outDistancesData, {n, k});</div>
|
|
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  Tensor<Index::idx_t, 2, true> outIndices(outIndicesData, {n, k});</div>
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<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div>
|
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<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="comment">// Is pinned memory available?</span></div>
|
|
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keyword">auto</span> pinnedAlloc = resources_->getPinnedMemory();</div>
|
|
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordtype">int</span> pageSizeInVecs =</div>
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|
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  (int) ((pinnedAlloc.second / 2) / (<span class="keyword">sizeof</span>(float) * this-><a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>));</div>
|
|
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div>
|
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<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordflow">if</span> (!pinnedAlloc.first || pageSizeInVecs < 1) {</div>
|
|
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="comment">// Just page without overlapping copy with compute</span></div>
|
|
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordtype">int</span> batchSize = utils::nextHighestPowerOf2(</div>
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<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  (<span class="keywordtype">int</span>) ((<span class="keywordtype">size_t</span>) kNonPinnedPageSize /</div>
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<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  (<span class="keyword">sizeof</span>(<span class="keywordtype">float</span>) * this-><a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>)));</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>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> cur = 0; cur < n; cur += batchSize) {</div>
|
|
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordtype">int</span> num = std::min(batchSize, n - cur);</div>
|
|
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div>
|
|
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keyword">auto</span> outDistancesSlice = outDistances.narrowOutermost(cur, num);</div>
|
|
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">auto</span> outIndicesSlice = outIndices.narrowOutermost(cur, num);</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>  searchNonPaged_(num,</div>
|
|
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  x + (<span class="keywordtype">size_t</span>) cur * this-><a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>,</div>
|
|
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  k,</div>
|
|
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  outDistancesSlice.data(),</div>
|
|
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  outIndicesSlice.data());</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> </div>
|
|
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">return</span>;</div>
|
|
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  }</div>
|
|
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span> </div>
|
|
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="comment">//</span></div>
|
|
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="comment">// Pinned memory is available, so we can overlap copy with compute.</span></div>
|
|
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="comment">// We use two pinned memory buffers, and triple-buffer the</span></div>
|
|
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="comment">// procedure:</span></div>
|
|
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="comment">//</span></div>
|
|
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="comment">// 1 CPU copy -> pinned</span></div>
|
|
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="comment">// 2 pinned copy -> GPU</span></div>
|
|
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="comment">// 3 GPU compute</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>  <span class="comment">// 1 2 3 1 2 3 ... (pinned buf A)</span></div>
|
|
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="comment">// 1 2 3 1 2 ... (pinned buf B)</span></div>
|
|
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="comment">// 1 2 3 1 ... (pinned buf A)</span></div>
|
|
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="comment">// time -></span></div>
|
|
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="comment">//</span></div>
|
|
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keyword">auto</span> defaultStream = resources_->getDefaultStream(device_);</div>
|
|
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keyword">auto</span> copyStream = resources_->getAsyncCopyStream(device_);</div>
|
|
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span> </div>
|
|
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  FAISS_ASSERT((<span class="keywordtype">size_t</span>) pageSizeInVecs * this-><a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a> <=</div>
|
|
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  (<span class="keywordtype">size_t</span>) std::numeric_limits<int>::max());</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>  <span class="keywordtype">float</span>* bufPinnedA = (<span class="keywordtype">float</span>*) pinnedAlloc.first;</div>
|
|
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordtype">float</span>* bufPinnedB = bufPinnedA + (<span class="keywordtype">size_t</span>) pageSizeInVecs * this-><a class="code" href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">d</a>;</div>
|
|
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keywordtype">float</span>* bufPinned[2] = {bufPinnedA, bufPinnedB};</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="comment">// Reserve space on the GPU for the destination of the pinned buffer</span></div>
|
|
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="comment">// copy</span></div>
|
|
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  DeviceTensor<float, 2, true> bufGpuA(</div>
|
|
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  resources_->getMemoryManagerCurrentDevice(),</div>
|
|
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  {(int) pageSizeInVecs, (<span class="keywordtype">int</span>) this->d},</div>
|
|
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  defaultStream);</div>
|
|
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  DeviceTensor<float, 2, true> bufGpuB(</div>
|
|
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  resources_->getMemoryManagerCurrentDevice(),</div>
|
|
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  {(int) pageSizeInVecs, (<span class="keywordtype">int</span>) this->d},</div>
|
|
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  defaultStream);</div>
|
|
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  DeviceTensor<float, 2, true>* bufGpus[2] = {&bufGpuA, &bufGpuB};</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="comment">// Copy completion events for the pinned buffers</span></div>
|
|
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  std::unique_ptr<CudaEvent> eventPinnedCopyDone[2];</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>  <span class="comment">// Execute completion events for the GPU buffers</span></div>
|
|
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  std::unique_ptr<CudaEvent> eventGpuExecuteDone[2];</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>  <span class="comment">// All offsets are in terms of number of vectors; they remain within</span></div>
|
|
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="comment">// int bounds (as this function only handles max in vectors)</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>  <span class="comment">// Current start offset for buffer 1</span></div>
|
|
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordtype">int</span> cur1 = 0;</div>
|
|
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordtype">int</span> cur1BufIndex = 0;</div>
|
|
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div>
|
|
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="comment">// Current start offset for buffer 2</span></div>
|
|
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keywordtype">int</span> cur2 = -1;</div>
|
|
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordtype">int</span> cur2BufIndex = 0;</div>
|
|
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div>
|
|
<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="comment">// Current start offset for buffer 3</span></div>
|
|
<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  <span class="keywordtype">int</span> cur3 = -1;</div>
|
|
<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keywordtype">int</span> cur3BufIndex = 0;</div>
|
|
<div class="line"><a name="l00360"></a><span class="lineno"> 360</span> </div>
|
|
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">while</span> (cur3 < n) {</div>
|
|
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="comment">// Start async pinned -> GPU copy first (buf 2)</span></div>
|
|
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="keywordflow">if</span> (cur2 != -1 && cur2 < n) {</div>
|
|
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="comment">// Copy pinned to GPU</span></div>
|
|
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keywordtype">int</span> numToCopy = std::min(pageSizeInVecs, n - cur2);</div>
|
|
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span> </div>
|
|
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="comment">// Make sure any previous execution has completed before continuing</span></div>
|
|
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keyword">auto</span>& eventPrev = eventGpuExecuteDone[cur2BufIndex];</div>
|
|
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">if</span> (eventPrev.get()) {</div>
|
|
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  eventPrev->streamWaitOnEvent(copyStream);</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>  CUDA_VERIFY(cudaMemcpyAsync(bufGpus[cur2BufIndex]->data(),</div>
|
|
<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  bufPinned[cur2BufIndex],</div>
|
|
<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  (<span class="keywordtype">size_t</span>) numToCopy * this->d * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>),</div>
|
|
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  cudaMemcpyHostToDevice,</div>
|
|
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  copyStream));</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="comment">// Mark a completion event in this stream</span></div>
|
|
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  eventPinnedCopyDone[cur2BufIndex] =</div>
|
|
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  std::move(std::unique_ptr<CudaEvent>(<span class="keyword">new</span> CudaEvent(copyStream)));</div>
|
|
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div>
|
|
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="comment">// We pick up from here</span></div>
|
|
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  cur3 = cur2;</div>
|
|
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  cur2 += numToCopy;</div>
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<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  cur2BufIndex = (cur2BufIndex == 0) ? 1 : 0;</div>
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<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  }</div>
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<div class="line"><a name="l00388"></a><span class="lineno"> 388</span> </div>
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<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keywordflow">if</span> (cur3 != -1 && cur3 < n) {</div>
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<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="comment">// Process on GPU</span></div>
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<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keywordtype">int</span> numToProcess = std::min(pageSizeInVecs, n - cur3);</div>
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<div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div>
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<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  <span class="comment">// Make sure the previous copy has completed before continuing</span></div>
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<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keyword">auto</span>& eventPrev = eventPinnedCopyDone[cur3BufIndex];</div>
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<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  FAISS_ASSERT(eventPrev.get());</div>
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<div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div>
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<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  eventPrev->streamWaitOnEvent(defaultStream);</div>
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<div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div>
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<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="comment">// Create tensor wrappers</span></div>
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<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="comment">// DeviceTensor<float, 2, true> input(bufGpus[cur3BufIndex]->data(),</span></div>
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<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="comment">// {numToProcess, this->d});</span></div>
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<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">auto</span> outDistancesSlice = outDistances.narrowOutermost(cur3, numToProcess);</div>
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<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">auto</span> outIndicesSlice = outIndices.narrowOutermost(cur3, numToProcess);</div>
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<div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div>
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<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndex.html#a184c443785b715fd692b2b67aa71d687">searchImpl_</a>(numToProcess,</div>
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<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  bufGpus[cur3BufIndex]->data(),</div>
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<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  k,</div>
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<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  outDistancesSlice.data(),</div>
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<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  outIndicesSlice.data());</div>
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<div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div>
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<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="comment">// Create completion event</span></div>
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<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  eventGpuExecuteDone[cur3BufIndex] =</div>
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<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  std::move(std::unique_ptr<CudaEvent>(<span class="keyword">new</span> CudaEvent(defaultStream)));</div>
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<div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div>
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<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="comment">// We pick up from here</span></div>
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<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  cur3BufIndex = (cur3BufIndex == 0) ? 1 : 0;</div>
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<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  cur3 += numToProcess;</div>
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<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  }</div>
|
|
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div>
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<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">if</span> (cur1 < n) {</div>
|
|
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="comment">// Copy CPU mem to CPU pinned</span></div>
|
|
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  <span class="keywordtype">int</span> numToCopy = std::min(pageSizeInVecs, n - cur1);</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="comment">// Make sure any previous copy has completed before continuing</span></div>
|
|
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keyword">auto</span>& eventPrev = eventPinnedCopyDone[cur1BufIndex];</div>
|
|
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keywordflow">if</span> (eventPrev.get()) {</div>
|
|
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  eventPrev->cpuWaitOnEvent();</div>
|
|
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  }</div>
|
|
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span> </div>
|
|
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  memcpy(bufPinned[cur1BufIndex],</div>
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|
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  x + (<span class="keywordtype">size_t</span>) cur1 * this->d,</div>
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<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  (<span class="keywordtype">size_t</span>) numToCopy * this->d * <span class="keyword">sizeof</span>(<span class="keywordtype">float</span>));</div>
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<div class="line"><a name="l00433"></a><span class="lineno"> 433</span> </div>
|
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<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <span class="comment">// We pick up from here</span></div>
|
|
<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  cur2 = cur1;</div>
|
|
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  cur1 += numToCopy;</div>
|
|
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  cur1BufIndex = (cur1BufIndex == 0) ? 1 : 0;</div>
|
|
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  }</div>
|
|
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  }</div>
|
|
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span> }</div>
|
|
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span> </div>
|
|
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span> } } <span class="comment">// namespace</span></div>
|
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_aa0354aa570c24e17a9f8a6a45b153ed2"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#aa0354aa570c24e17a9f8a6a45b153ed2">faiss::gpu::GpuResources::getDefaultStreamCurrentDevice</a></div><div class="ttdeci">cudaStream_t getDefaultStreamCurrentDevice()</div><div class="ttdoc">Calls getDefaultStream with the current device. </div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8cpp_source.html#l00023">GpuResources.cpp:23</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_adbdc96814ff2d4390dfd860bd5918203"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#adbdc96814ff2d4390dfd860bd5918203">faiss::gpu::GpuIndex::getMinPagingSize</a></div><div class="ttdeci">size_t getMinPagingSize() const </div><div class="ttdoc">Returns the current minimum data size for paged searches. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8cu_source.html#l00074">GpuIndex.cu:74</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a184c443785b715fd692b2b67aa71d687"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a184c443785b715fd692b2b67aa71d687">faiss::gpu::GpuIndex::searchImpl_</a></div><div class="ttdeci">virtual void searchImpl_(int n, const float *x, int k, float *distances, Index::idx_t *labels) const =0</div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a358cad8f80a9c4b3aff45f3f7c131d03"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a358cad8f80a9c4b3aff45f3f7c131d03">faiss::gpu::GpuIndex::addImplRequiresIDs_</a></div><div class="ttdeci">virtual bool addImplRequiresIDs_() const =0</div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a47f6969fe60d82b8e3407557ba9eec88"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a47f6969fe60d82b8e3407557ba9eec88">faiss::gpu::GpuIndex::add_with_ids</a></div><div class="ttdeci">void add_with_ids(Index::idx_t n, const float *x, const Index::idx_t *ids) override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8cu_source.html#l00085">GpuIndex.cu:85</a></div></div>
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<div class="ttc" id="structfaiss_1_1Index_html_a2a002388d2c081c2dbab8508dcefe73d"><div class="ttname"><a href="structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d">faiss::Index::d</a></div><div class="ttdeci">int d</div><div class="ttdoc">vector dimension </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00066">Index.h:66</a></div></div>
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<div class="ttc" id="structfaiss_1_1Index_html_ad3f0d3071f987baabbdd3da4500c87ea"><div class="ttname"><a href="structfaiss_1_1Index.html#ad3f0d3071f987baabbdd3da4500c87ea">faiss::Index::idx_t</a></div><div class="ttdeci">long idx_t</div><div class="ttdoc">all indices are this type </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00062">Index.h:62</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a67750633faa35677ee505a1e61cfe142"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a67750633faa35677ee505a1e61cfe142">faiss::gpu::GpuIndex::device_</a></div><div class="ttdeci">const int device_</div><div class="ttdoc">The GPU device we are resident on. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00126">GpuIndex.h:126</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a17b82a8a11783da6eb1b07c9aab98c36"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a17b82a8a11783da6eb1b07c9aab98c36">faiss::gpu::GpuIndex::resources_</a></div><div class="ttdeci">GpuResources * resources_</div><div class="ttdoc">Manages streams, cuBLAS handles and scratch memory for devices. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00123">GpuIndex.h:123</a></div></div>
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<div class="ttc" id="structfaiss_1_1Index_html_a6970683faa021b7a6f1a0865c0d4eccd"><div class="ttname"><a href="structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd">faiss::Index::ntotal</a></div><div class="ttdeci">idx_t ntotal</div><div class="ttdoc">total nb of indexed vectors </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00067">Index.h:67</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_af576341f6996b0e80e26b9748db51eb7"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#af576341f6996b0e80e26b9748db51eb7">faiss::gpu::GpuIndex::add</a></div><div class="ttdeci">void add(faiss::Index::idx_t, const float *x) override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8cu_source.html#l00079">GpuIndex.cu:79</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceScope_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceScope.html">faiss::gpu::DeviceScope</a></div><div class="ttdef"><b>Definition:</b> <a href="DeviceUtils_8h_source.html#l00068">DeviceUtils.h:68</a></div></div>
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<div class="ttc" id="structfaiss_1_1Index_html_a6e92732617c4dbe364e7678dd8773a7f"><div class="ttname"><a href="structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f">faiss::Index::is_trained</a></div><div class="ttdeci">bool is_trained</div><div class="ttdoc">set if the Index does not require training, or if training is done already </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00071">Index.h:71</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a32a08664fc4dca2f9405e07ea5bc206f"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a32a08664fc4dca2f9405e07ea5bc206f">faiss::gpu::GpuIndex::minPagedSize_</a></div><div class="ttdeci">size_t minPagedSize_</div><div class="ttdoc">Size above which we page copies from the CPU to GPU. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00132">GpuIndex.h:132</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a6c82cbea6b02cc996d634f822c1d310b"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a6c82cbea6b02cc996d634f822c1d310b">faiss::gpu::GpuIndex::setMinPagingSize</a></div><div class="ttdeci">void setMinPagingSize(size_t size)</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8cu_source.html#l00069">GpuIndex.cu:69</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_ae8479445214c5ef37adf154c138ce973"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#ae8479445214c5ef37adf154c138ce973">faiss::gpu::GpuIndex::addImpl_</a></div><div class="ttdeci">virtual void addImpl_(int n, const float *x, const Index::idx_t *ids)=0</div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndex_html_a4564ff946e4339156173b39449562971"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndex.html#a4564ff946e4339156173b39449562971">faiss::gpu::GpuIndex::search</a></div><div class="ttdeci">void search(Index::idx_t n, const float *x, Index::idx_t k, float *distances, Index::idx_t *labels) const override</div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8cu_source.html#l00176">GpuIndex.cu:176</a></div></div>
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<div class="ttc" id="namespacefaiss_html_afd12191c638da74760ff397cf319752c"><div class="ttname"><a href="namespacefaiss.html#afd12191c638da74760ff397cf319752c">faiss::MetricType</a></div><div class="ttdeci">MetricType</div><div class="ttdoc">Some algorithms support both an inner product version and a L2 search version. </div><div class="ttdef"><b>Definition:</b> <a href="Index_8h_source.html#l00044">Index.h:44</a></div></div>
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