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  • Lucas Hosseini's avatar
    Facebook sync (May 2019) + relicense (#838) · a8118acb
    Lucas Hosseini authored 
    Changelog:

- changed license: BSD+Patents -> MIT
- propagates exceptions raised in sub-indexes of IndexShards and IndexReplicas
- support for searching several inverted lists in parallel (parallel_mode != 0)
- better support for PQ codes where nbit != 8 or 16
- IVFSpectralHash implementation: spectral hash codes inside an IVF
- 6-bit per component scalar quantizer (4 and 8 bit were already supported)
- combinations of inverted lists: HStackInvertedLists and VStackInvertedLists
- configurable number of threads for OnDiskInvertedLists prefetching (including 0=no prefetch)
- more test and demo code compatible with Python 3 (print with parentheses)
- refactored benchmark code: data loading is now in a single file
    a8118acb
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<li class="navelem"><a class="el" href="dir_5956a3e80a20e8e03eb577bedb92689f.html">gpu</a></li><li class="navelem"><a class="el" href="dir_a3cfb31331d59041de4557cf2bb4fd3c.html">perf</a></li>  </ul>
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<div class="title">PerfIVFPQAdd.cpp</div>  </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) Facebook, Inc. and its affiliates.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * This source code is licensed under the MIT license found in the</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div>
<div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;</div>
<div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="preprocessor">#include &lt;cuda_profiler_api.h&gt;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &quot;../../IndexFlat.h&quot;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &quot;../../IndexIVFPQ.h&quot;</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &quot;../GpuIndexIVFPQ.h&quot;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &quot;../StandardGpuResources.h&quot;</span></div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &quot;../test/TestUtils.h&quot;</span></div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &quot;../utils/DeviceUtils.h&quot;</span></div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &quot;../utils/Timer.h&quot;</span></div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor">#include &lt;gflags/gflags.h&gt;</span></div>
<div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="preprocessor">#include &lt;map&gt;</span></div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="preprocessor">#include &lt;vector&gt;</span></div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;</div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;DEFINE_int32(batches, 10, <span class="stringliteral">&quot;number of batches of vectors to add&quot;</span>);</div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;DEFINE_int32(batch_size, 10000, <span class="stringliteral">&quot;number of vectors in each batch&quot;</span>);</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;DEFINE_int32(dim, 256, <span class="stringliteral">&quot;dimension of vectors&quot;</span>);</div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;DEFINE_int32(centroids, 4096, <span class="stringliteral">&quot;num coarse centroids to use&quot;</span>);</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;DEFINE_int32(bytes_per_vec, 32, <span class="stringliteral">&quot;bytes per encoded vector&quot;</span>);</div>
<div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;DEFINE_int32(bits_per_code, 8, <span class="stringliteral">&quot;bits per PQ code&quot;</span>);</div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;DEFINE_int32(index, 2, <span class="stringliteral">&quot;0 = no indices on GPU; 1 = 32 bit, 2 = 64 bit on GPU&quot;</span>);</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;DEFINE_bool(time_gpu, <span class="keyword">true</span>, <span class="stringliteral">&quot;time add to GPU&quot;</span>);</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;DEFINE_bool(time_cpu, <span class="keyword">false</span>, <span class="stringliteral">&quot;time add to CPU&quot;</span>);</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;DEFINE_bool(per_batch_time, <span class="keyword">false</span>, <span class="stringliteral">&quot;print per-batch times&quot;</span>);</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;DEFINE_bool(reserve_memory, <span class="keyword">false</span>, <span class="stringliteral">&quot;whether or not to pre-reserve memory&quot;</span>);</div>
<div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;</div>
<div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="keywordtype">int</span> main(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span>** argv) {</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;  gflags::ParseCommandLineFlags(&amp;argc, &amp;argv, <span class="keyword">true</span>);</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;  cudaProfilerStop();</div>
<div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;  <span class="keywordtype">int</span> dim = FLAGS_dim;</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;  <span class="keywordtype">int</span> numCentroids = FLAGS_centroids;</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;  <span class="keywordtype">int</span> bytesPerVec = FLAGS_bytes_per_vec;</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;  <span class="keywordtype">int</span> bitsPerCode = FLAGS_bits_per_code;</div>
<div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div>
<div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html">faiss::gpu::StandardGpuResources</a> res;</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;  <span class="comment">// IndexIVFPQ will complain, but just give us enough to get through this</span></div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  <span class="keywordtype">int</span> numTrain = 4 * numCentroids;</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;  std::vector&lt;float&gt; trainVecs = faiss::gpu::randVecs(numTrain, dim);</div>
<div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div>
<div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;  <a class="code" href="structfaiss_1_1IndexFlatL2.html">faiss::IndexFlatL2</a> coarseQuantizer(dim);</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;  <a class="code" href="structfaiss_1_1IndexIVFPQ.html">faiss::IndexIVFPQ</a> cpuIndex(&amp;coarseQuantizer, dim, numCentroids,</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;                             bytesPerVec, bitsPerCode);</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;  <span class="keywordflow">if</span> (FLAGS_time_cpu) {</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    cpuIndex.train(numTrain, trainVecs.data());</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;  }</div>
<div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;  <a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html">faiss::gpu::GpuIndexIVFPQConfig</a> config;</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;  config.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexConfig.html#aab05a0aa7b42feae7df4e556a52ead57">device</a> = 0;</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;  config.<a class="code" href="structfaiss_1_1gpu_1_1GpuIndexIVFConfig.html#af432221761d48e4753f501208a60264d">indicesOptions</a> = (faiss::gpu::IndicesOptions) FLAGS_index;</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html">faiss::gpu::GpuIndexIVFPQ</a> gpuIndex(</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    &amp;res, dim, numCentroids, bytesPerVec, bitsPerCode,</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    faiss::METRIC_L2, config);</div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;</div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;  <span class="keywordflow">if</span> (FLAGS_time_gpu) {</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    gpuIndex.train(numTrain, trainVecs.data());</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <span class="keywordflow">if</span> (FLAGS_reserve_memory) {</div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;      <span class="keywordtype">size_t</span> numVecs = (size_t) FLAGS_batches * (<span class="keywordtype">size_t</span>) FLAGS_batch_size;</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;      gpuIndex.reserveMemory(numVecs);</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    }</div>
<div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;  }</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;  cudaDeviceSynchronize();</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;  CUDA_VERIFY(cudaProfilerStart());</div>
<div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div>
<div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;  <span class="keywordtype">float</span> totalGpuTime = 0.0f;</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;  <span class="keywordtype">float</span> totalCpuTime = 0.0f;</div>
<div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div>
<div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; FLAGS_batches; ++i) {</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <span class="keywordflow">if</span> (!FLAGS_per_batch_time) {</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;      <span class="keywordflow">if</span> (i % 10 == 0) {</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;        printf(<span class="stringliteral">&quot;Adding batch %d\n&quot;</span>, i + 1);</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;      }</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    }</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <span class="keyword">auto</span> addVecs = faiss::gpu::randVecs(FLAGS_batch_size, dim);</div>
<div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div>
<div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="keywordflow">if</span> (FLAGS_time_gpu) {</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;      <a class="code" href="classfaiss_1_1gpu_1_1CpuTimer.html">faiss::gpu::CpuTimer</a> timer;</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;      gpuIndex.add(FLAGS_batch_size, addVecs.data());</div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;      CUDA_VERIFY(cudaDeviceSynchronize());</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;      <span class="keyword">auto</span> time = timer.<a class="code" href="classfaiss_1_1gpu_1_1CpuTimer.html#a4a2795debf10bc7eb904d62356e41f0d">elapsedMilliseconds</a>();</div>
<div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div>
<div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;      totalGpuTime += time;</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;</div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;      <span class="keywordflow">if</span> (FLAGS_per_batch_time) {</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;      printf(<span class="stringliteral">&quot;Batch %d | GPU time to add %d vecs: %.3f ms (%.5f ms per)\n&quot;</span>,</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;             i + 1, FLAGS_batch_size, time, time / (<span class="keywordtype">float</span>) FLAGS_batch_size);</div>
<div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;      }</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    }</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <span class="keywordflow">if</span> (FLAGS_time_cpu) {</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;      <a class="code" href="classfaiss_1_1gpu_1_1CpuTimer.html">faiss::gpu::CpuTimer</a> timer;</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;      cpuIndex.add(FLAGS_batch_size, addVecs.data());</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;      <span class="keyword">auto</span> time = timer.<a class="code" href="classfaiss_1_1gpu_1_1CpuTimer.html#a4a2795debf10bc7eb904d62356e41f0d">elapsedMilliseconds</a>();</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;      totalCpuTime += time;</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;      <span class="keywordflow">if</span> (FLAGS_per_batch_time) {</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;        printf(<span class="stringliteral">&quot;Batch %d | CPU time to add %d vecs: %.3f ms (%.5f ms per)\n&quot;</span>,</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;               i + 1, FLAGS_batch_size, time, time / (<span class="keywordtype">float</span>) FLAGS_batch_size);</div>
<div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;      }</div>
<div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    }</div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;  }</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;  CUDA_VERIFY(cudaProfilerStop());</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;  <span class="keywordtype">int</span> total = FLAGS_batch_size * FLAGS_batches;</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;  <span class="keywordflow">if</span> (FLAGS_time_gpu) {</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    printf(<span class="stringliteral">&quot;%d dim, %d centroids, %d x %d encoding\n&quot;</span></div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;           <span class="stringliteral">&quot;GPU time to add %d vectors (%d batches, %d per batch): &quot;</span></div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;           <span class="stringliteral">&quot;%.3f ms (%.3f us per)\n&quot;</span>,</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;           dim, numCentroids, bytesPerVec, bitsPerCode,</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;           total, FLAGS_batches, FLAGS_batch_size,</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;           totalGpuTime, totalGpuTime * 1000.0f / (<span class="keywordtype">float</span>) total);</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;  }</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;  <span class="keywordflow">if</span> (FLAGS_time_cpu) {</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    printf(<span class="stringliteral">&quot;%d dim, %d centroids, %d x %d encoding\n&quot;</span></div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;           <span class="stringliteral">&quot;CPU time to add %d vectors (%d batches, %d per batch): &quot;</span></div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;           <span class="stringliteral">&quot;%.3f ms (%.3f us per)\n&quot;</span>,</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;           dim, numCentroids, bytesPerVec, bitsPerCode,</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;           total, FLAGS_batches, FLAGS_batch_size,</div>
<div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;           totalCpuTime, totalCpuTime * 1000.0f / (<span class="keywordtype">float</span>) total);</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;  }</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;  <span class="keywordflow">return</span> 0;</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;}</div>
<div class="ttc" id="classfaiss_1_1gpu_1_1CpuTimer_html_a4a2795debf10bc7eb904d62356e41f0d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1CpuTimer.html#a4a2795debf10bc7eb904d62356e41f0d">faiss::gpu::CpuTimer::elapsedMilliseconds</a></div><div class="ttdeci">float elapsedMilliseconds()</div><div class="ttdoc">Returns elapsed time in milliseconds. </div><div class="ttdef"><b>Definition:</b> <a href="Timer_8cpp_source.html#l00050">Timer.cpp:50</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexFlatL2_html"><div class="ttname"><a href="structfaiss_1_1IndexFlatL2.html">faiss::IndexFlatL2</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexFlat_8h_source.html#l00077">IndexFlat.h:77</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1CpuTimer_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1CpuTimer.html">faiss::gpu::CpuTimer</a></div><div class="ttdoc">CPU wallclock elapsed timer. </div><div class="ttdef"><b>Definition:</b> <a href="Timer_8h_source.html#l00040">Timer.h:40</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1GpuIndexConfig_html_aab05a0aa7b42feae7df4e556a52ead57"><div class="ttname"><a href="structfaiss_1_1gpu_1_1GpuIndexConfig.html#aab05a0aa7b42feae7df4e556a52ead57">faiss::gpu::GpuIndexConfig::device</a></div><div class="ttdeci">int device</div><div class="ttdoc">GPU device on which the index is resident. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndex_8h_source.html#l00025">GpuIndex.h:25</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig_html"><div class="ttname"><a href="structfaiss_1_1gpu_1_1GpuIndexIVFPQConfig.html">faiss::gpu::GpuIndexIVFPQConfig</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8h_source.html#l00021">GpuIndexIVFPQ.h:21</a></div></div>
<div class="ttc" id="structfaiss_1_1IndexIVFPQ_html"><div class="ttname"><a href="structfaiss_1_1IndexIVFPQ.html">faiss::IndexIVFPQ</a></div><div class="ttdef"><b>Definition:</b> <a href="IndexIVFPQ_8h_source.html#l00034">IndexIVFPQ.h:34</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html">faiss::gpu::StandardGpuResources</a></div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8h_source.html#l00021">StandardGpuResources.h:21</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuIndexIVFPQ_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuIndexIVFPQ.html">faiss::gpu::GpuIndexIVFPQ</a></div><div class="ttdoc">IVFPQ index for the GPU. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVFPQ_8h_source.html#l00038">GpuIndexIVFPQ.h:38</a></div></div>
<div class="ttc" id="structfaiss_1_1gpu_1_1GpuIndexIVFConfig_html_af432221761d48e4753f501208a60264d"><div class="ttname"><a href="structfaiss_1_1gpu_1_1GpuIndexIVFConfig.html#af432221761d48e4753f501208a60264d">faiss::gpu::GpuIndexIVFConfig::indicesOptions</a></div><div class="ttdeci">IndicesOptions indicesOptions</div><div class="ttdoc">Index storage options for the GPU. </div><div class="ttdef"><b>Definition:</b> <a href="GpuIndexIVF_8h_source.html#l00029">GpuIndexIVF.h:29</a></div></div>
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