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<div class="title">StandardGpuResources.h</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>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) Facebook, Inc. and its affiliates.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * 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> <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> <span class="comment"> */</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include "GpuResources.h"</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include "utils/StackDeviceMemory.h"</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "utils/DeviceUtils.h"</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <unordered_map></span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <vector></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"></span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">/// Default implementation of GpuResources that allocates a cuBLAS</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment">/// stream and 2 streams for use, as well as temporary memory</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1StandardGpuResources.html"> 21</a></span> <span class="comment"></span><span class="keyword">class </span><a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html">StandardGpuResources</a> : <span class="keyword">public</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a> {</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html">StandardGpuResources</a>();</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  ~<a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html">StandardGpuResources</a>() <span class="keyword">override</span>;</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"></span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"> /// Disable allocation of temporary memory; all temporary memory</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> /// requests will call cudaMalloc / cudaFree at the point of use</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a6431477a7328ac147797b3b4e3fcf651">noTempMemory</a>();</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"></span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"> /// Specify that we wish to use a certain fixed size of memory on</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> /// all devices as temporary memory. This is the upper bound for the GPU</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"> /// memory that we will reserve. We will never go above 1.5 GiB on any GPU;</span></div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> /// smaller GPUs (with <= 4 GiB or <= 8 GiB) will use less memory than that.</span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"> /// To avoid any temporary memory allocation, pass 0.</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a367102e65b16bfdc7a32770a4f5854a6">setTempMemory</a>(<span class="keywordtype">size_t</span> size);</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"></span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> /// Set amount of pinned memory to allocate, for async GPU <-> CPU</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"> /// transfers</span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#af9acb23ac323f85fa5dab4ed968ccd51">setPinnedMemory</a>(<span class="keywordtype">size_t</span> size);</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"></span></div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"> /// Called to change the stream for work ordering</span></div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5924b424c36dba8300866f1b98c438cb">setDefaultStream</a>(<span class="keywordtype">int</span> device, cudaStream_t stream);</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"></span></div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> /// Called to change the work ordering streams to the null stream</span></div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> /// for all devices</span></div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5374f336f1957c266d7a5c185eb962a1">setDefaultNullStreamAllDevices</a>();</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"></span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> /// Enable or disable the warning about not having enough temporary memory</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> /// when cudaMalloc gets called</span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a3caad981d50370b9f5c121509eb2ed17">setCudaMallocWarning</a>(<span class="keywordtype">bool</span> b);</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keyword">public</span>:<span class="comment"></span></div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> /// Internal system calls</span></div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"></span><span class="comment"></span></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> /// Initialize resources for this device</span></div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056">initializeForDevice</a>(<span class="keywordtype">int</span> device) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  cublasHandle_t <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a7560435c7f45fd59d94ee947330a58da">getBlasHandle</a>(<span class="keywordtype">int</span> device) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  cudaStream_t <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a954f34ef68fd36b8d502ca3a21f7e8a8">getDefaultStream</a>(<span class="keywordtype">int</span> device) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  std::vector<cudaStream_t> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a9ebf68604864cb890a4c2e3d0a6f9952">getAlternateStreams</a>(<span class="keywordtype">int</span> device) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> </div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>& <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a35da92117dd4b47ee773444af716d634">getMemoryManager</a>(<span class="keywordtype">int</span> device) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  std::pair<void*, size_t> <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#ae7418f127cac2ac663ac0ae2e6f88e8d">getPinnedMemory</a>() <span class="keyword">override</span>;</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  cudaStream_t <a class="code" href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adf89d4731c826df889f51fe42287b15d">getAsyncCopyStream</a>(<span class="keywordtype">int</span> device) <span class="keyword">override</span>;</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">private</span>:<span class="comment"></span></div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"> /// Have GPU resources been initialized for this device yet?</span></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment"></span> <span class="keywordtype">bool</span> isInitialized(<span class="keywordtype">int</span> device) <span class="keyword">const</span>;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment"></span></div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"> /// Adjust the default temporary memory allocation based on the total GPU</span></div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"> /// memory size</span></div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"></span> <span class="keyword">static</span> <span class="keywordtype">size_t</span> getDefaultTempMemForGPU(<span class="keywordtype">int</span> device, <span class="keywordtype">size_t</span> requested);</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">private</span>:<span class="comment"></span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"> /// Our default stream that work is ordered on, one per each device</span></div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"></span> std::unordered_map<int, cudaStream_t> defaultStreams_;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"></span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"> /// This contains particular streams as set by the user for</span></div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"> /// ordering, if any</span></div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"></span> std::unordered_map<int, cudaStream_t> userDefaultStreams_;</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"></span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"> /// Other streams we can use, per each device</span></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"></span> std::unordered_map<int, std::vector<cudaStream_t> > alternateStreams_;</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"></span></div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"> /// Async copy stream to use for GPU <-> CPU pinned memory copies</span></div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment"></span> std::unordered_map<int, cudaStream_t> asyncCopyStreams_;</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment"></span></div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"> /// cuBLAS handle for each device</span></div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"></span> std::unordered_map<int, cublasHandle_t> blasHandles_;</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"></span></div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"> /// Temporary memory provider, per each device</span></div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"></span> std::unordered_map<int, std::unique_ptr<StackDeviceMemory> > memory_;</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"></span></div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"> /// Pinned memory allocation for use with this GPU</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"></span> <span class="keywordtype">void</span>* pinnedMemAlloc_;</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordtype">size_t</span> pinnedMemAllocSize_;</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"></span></div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"> /// Another option is to use a specified amount of memory on all</span></div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> /// devices</span></div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"></span> <span class="keywordtype">size_t</span> tempMemSize_;</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment"></span></div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment"> /// Amount of pinned memory we should allocate</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"></span> <span class="keywordtype">size_t</span> pinnedMemSize_;</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"></span></div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment"> /// Whether or not a warning upon cudaMalloc is generated</span></div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"></span> <span class="keywordtype">bool</span> cudaMallocWarning_;</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> };</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> } } <span class="comment">// namespace</span></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a5924b424c36dba8300866f1b98c438cb"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5924b424c36dba8300866f1b98c438cb">faiss::gpu::StandardGpuResources::setDefaultStream</a></div><div class="ttdeci">void setDefaultStream(int device, cudaStream_t stream)</div><div class="ttdoc">Called to change the stream for work ordering. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00155">StandardGpuResources.cpp:155</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a7560435c7f45fd59d94ee947330a58da"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a7560435c7f45fd59d94ee947330a58da">faiss::gpu::StandardGpuResources::getBlasHandle</a></div><div class="ttdeci">cublasHandle_t getBlasHandle(int device) override</div><div class="ttdoc">Returns the cuBLAS handle that we use for the given device. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00262">StandardGpuResources.cpp:262</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a6431477a7328ac147797b3b4e3fcf651"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a6431477a7328ac147797b3b4e3fcf651">faiss::gpu::StandardGpuResources::noTempMemory</a></div><div class="ttdeci">void noTempMemory()</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00115">StandardGpuResources.cpp:115</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_adb2729678638ed89f7b8b38470f96056"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adb2729678638ed89f7b8b38470f96056">faiss::gpu::StandardGpuResources::initializeForDevice</a></div><div class="ttdeci">void initializeForDevice(int device) override</div><div class="ttdoc">Internal system calls. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00190">StandardGpuResources.cpp:190</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_adf89d4731c826df889f51fe42287b15d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#adf89d4731c826df889f51fe42287b15d">faiss::gpu::StandardGpuResources::getAsyncCopyStream</a></div><div class="ttdeci">cudaStream_t getAsyncCopyStream(int device) override</div><div class="ttdoc">Returns the stream on which we perform async CPU &lt;-&gt; GPU copies. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00290">StandardGpuResources.cpp:290</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a35da92117dd4b47ee773444af716d634"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a35da92117dd4b47ee773444af716d634">faiss::gpu::StandardGpuResources::getMemoryManager</a></div><div class="ttdeci">DeviceMemory & getMemoryManager(int device) override</div><div class="ttdoc">Returns the temporary memory manager for the given device. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00279">StandardGpuResources.cpp:279</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html">faiss::gpu::GpuResources</a></div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8h_source.html#l00021">GpuResources.h:21</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a3caad981d50370b9f5c121509eb2ed17"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a3caad981d50370b9f5c121509eb2ed17">faiss::gpu::StandardGpuResources::setCudaMallocWarning</a></div><div class="ttdeci">void setCudaMallocWarning(bool b)</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00174">StandardGpuResources.cpp:174</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a367102e65b16bfdc7a32770a4f5854a6"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a367102e65b16bfdc7a32770a4f5854a6">faiss::gpu::StandardGpuResources::setTempMemory</a></div><div class="ttdeci">void setTempMemory(size_t size)</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00121">StandardGpuResources.cpp:121</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_1StandardGpuResources_html_af9acb23ac323f85fa5dab4ed968ccd51"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#af9acb23ac323f85fa5dab4ed968ccd51">faiss::gpu::StandardGpuResources::setPinnedMemory</a></div><div class="ttdeci">void setPinnedMemory(size_t size)</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00146">StandardGpuResources.cpp:146</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a954f34ef68fd36b8d502ca3a21f7e8a8"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a954f34ef68fd36b8d502ca3a21f7e8a8">faiss::gpu::StandardGpuResources::getDefaultStream</a></div><div class="ttdeci">cudaStream_t getDefaultStream(int device) override</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00268">StandardGpuResources.cpp:268</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a5374f336f1957c266d7a5c185eb962a1"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a5374f336f1957c266d7a5c185eb962a1">faiss::gpu::StandardGpuResources::setDefaultNullStreamAllDevices</a></div><div class="ttdeci">void setDefaultNullStreamAllDevices()</div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00167">StandardGpuResources.cpp:167</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceMemory_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceMemory.html">faiss::gpu::DeviceMemory</a></div><div class="ttdoc">Manages temporary memory allocations on a GPU device. </div><div class="ttdef"><b>Definition:</b> <a href="DeviceMemory_8h_source.html#l00044">DeviceMemory.h:44</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_ae7418f127cac2ac663ac0ae2e6f88e8d"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#ae7418f127cac2ac663ac0ae2e6f88e8d">faiss::gpu::StandardGpuResources::getPinnedMemory</a></div><div class="ttdeci">std::pair< void *, size_t > getPinnedMemory() override</div><div class="ttdoc">Returns the available CPU pinned memory buffer. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00285">StandardGpuResources.cpp:285</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1StandardGpuResources_html_a9ebf68604864cb890a4c2e3d0a6f9952"><div class="ttname"><a href="classfaiss_1_1gpu_1_1StandardGpuResources.html#a9ebf68604864cb890a4c2e3d0a6f9952">faiss::gpu::StandardGpuResources::getAlternateStreams</a></div><div class="ttdeci">std::vector< cudaStream_t > getAlternateStreams(int device) override</div><div class="ttdoc">Returns the set of alternative streams that we use for the given device. </div><div class="ttdef"><b>Definition:</b> <a href="StandardGpuResources_8cpp_source.html#l00274">StandardGpuResources.cpp:274</a></div></div>
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