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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/**</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2015-present, Facebook, Inc.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * All rights reserved.</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> *</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> * This source code is licensed under the BSD+Patents license found in the</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment">// Copyright 2004-present Facebook. All Rights Reserved.</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#pragma once</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include "utils/DeviceMemory.h"</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <cuda_runtime.h></span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <cublas_v2.h></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <utility></span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <vector></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"></span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment">/// Base class of GPU-side resource provider; hides provision of</span></div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment">/// cuBLAS handles, CUDA streams and a temporary memory manager</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1GpuResources.html"> 23</a></span> <span class="comment"></span><span class="keyword">class </span><a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a> {</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">virtual</span> ~<a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html">GpuResources</a>();</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"> /// Call to pre-allocate resources for a particular device. If this is</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> /// not called, then resources will be allocated at the first time</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> /// of demand</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a1f7f4e220ce279257e1daf929c3b0d4e">initializeForDevice</a>(<span class="keywordtype">int</span> device) = 0;</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"></span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> /// Returns the cuBLAS handle that we use for the given device</span></div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"></span> <span class="keyword">virtual</span> cublasHandle_t <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#aa2682b8503dfdab4f7f5ef867035ad29">getBlasHandle</a>(<span class="keywordtype">int</span> device) = 0;</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"></span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"> /// Returns the stream that we order all computation on for the</span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> /// given device</span></div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"></span> <span class="keyword">virtual</span> cudaStream_t <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a6c564198df6ba675920c993e2af34b8c">getDefaultStream</a>(<span class="keywordtype">int</span> device) = 0;</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"></span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"> /// Returns the set of alternative streams that we use for the given device</span></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"></span> <span class="keyword">virtual</span> std::vector<cudaStream_t> <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#afb469bf3b107f43ef0d6abe4a014bb5b">getAlternateStreams</a>(<span class="keywordtype">int</span> device) = 0;</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"> /// Returns the temporary memory manager for the given device</span></div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>& <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a7fec58e9414f313fde4988a62f06cfab">getMemoryManager</a>(<span class="keywordtype">int</span> device) = 0;</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"> /// Returns the available CPU pinned memory buffer</span></div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"></span> <span class="keyword">virtual</span> std::pair<void*, size_t> <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#ad1b018745239e03d0044b659335c17a8">getPinnedMemory</a>() = 0;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"></span></div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> /// Returns the stream on which we perform async CPU <-> GPU copies</span></div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"></span> <span class="keyword">virtual</span> cudaStream_t <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a104b291ed4116033752144e90856c2e7">getAsyncCopyStream</a>(<span class="keywordtype">int</span> device) = 0;</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"></span></div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> /// Calls getBlasHandle with the current device</span></div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"></span> cublasHandle_t <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a00cb7bcbc5f1a00da673f30749149b12">getBlasHandleCurrentDevice</a>();</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"></span></div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> /// Calls getDefaultStream with the current device</span></div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"></span> cudaStream_t <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#aa0354aa570c24e17a9f8a6a45b153ed2">getDefaultStreamCurrentDevice</a>();</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"></span></div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> /// Synchronizes the CPU with respect to the default stream for the</span></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> /// given device</span></div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"></span> <span class="comment">// equivalent to cudaDeviceSynchronize(getDefaultStream(device))</span></div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a130deab9f6d49cbdde8f9da45ce868fd">syncDefaultStream</a>(<span class="keywordtype">int</span> device);</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"></span></div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> /// Calls syncDefaultStream for the current device</span></div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#adf6a5653ec2bbb0e9d58a0e1dd73897f">syncDefaultStreamCurrentDevice</a>();</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"></span></div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"> /// Calls getAlternateStreams for the current device</span></div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"></span> std::vector<cudaStream_t> <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a622f95597cc2ed2f10f3ae9400dc685b">getAlternateStreamsCurrentDevice</a>();</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"></span></div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> /// Calls getMemoryManager for the current device</span></div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment"></span> <a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>& <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#a1dda2dc3db1bd62cde6657c5cdbfb6e1">getMemoryManagerCurrentDevice</a>();</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"></span></div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="comment"> /// Calls getAsyncCopyStream for the current device</span></div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"></span> cudaStream_t <a class="code" href="classfaiss_1_1gpu_1_1GpuResources.html#aefb90d15fade57cdfcff03ec800183d4">getAsyncCopyStreamCurrentDevice</a>();</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span> };</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> } } <span class="comment">// namespace</span></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_a1f7f4e220ce279257e1daf929c3b0d4e"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#a1f7f4e220ce279257e1daf929c3b0d4e">faiss::gpu::GpuResources::initializeForDevice</a></div><div class="ttdeci">virtual void initializeForDevice(int device)=0</div></div>
<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#l00025">GpuResources.cpp:25</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_aa2682b8503dfdab4f7f5ef867035ad29"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#aa2682b8503dfdab4f7f5ef867035ad29">faiss::gpu::GpuResources::getBlasHandle</a></div><div class="ttdeci">virtual cublasHandle_t getBlasHandle(int device)=0</div><div class="ttdoc">Returns the cuBLAS handle that we use for the given device. </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#l00023">GpuResources.h:23</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_a6c564198df6ba675920c993e2af34b8c"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#a6c564198df6ba675920c993e2af34b8c">faiss::gpu::GpuResources::getDefaultStream</a></div><div class="ttdeci">virtual cudaStream_t getDefaultStream(int device)=0</div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_a00cb7bcbc5f1a00da673f30749149b12"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#a00cb7bcbc5f1a00da673f30749149b12">faiss::gpu::GpuResources::getBlasHandleCurrentDevice</a></div><div class="ttdeci">cublasHandle_t getBlasHandleCurrentDevice()</div><div class="ttdoc">Calls getBlasHandle with the current device. </div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8cpp_source.html#l00020">GpuResources.cpp:20</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_a1dda2dc3db1bd62cde6657c5cdbfb6e1"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#a1dda2dc3db1bd62cde6657c5cdbfb6e1">faiss::gpu::GpuResources::getMemoryManagerCurrentDevice</a></div><div class="ttdeci">DeviceMemory & getMemoryManagerCurrentDevice()</div><div class="ttdoc">Calls getMemoryManager for the current device. </div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8cpp_source.html#l00035">GpuResources.cpp:35</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_adf6a5653ec2bbb0e9d58a0e1dd73897f"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#adf6a5653ec2bbb0e9d58a0e1dd73897f">faiss::gpu::GpuResources::syncDefaultStreamCurrentDevice</a></div><div class="ttdeci">void syncDefaultStreamCurrentDevice()</div><div class="ttdoc">Calls syncDefaultStream for the current device. </div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8cpp_source.html#l00050">GpuResources.cpp:50</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_aefb90d15fade57cdfcff03ec800183d4"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#aefb90d15fade57cdfcff03ec800183d4">faiss::gpu::GpuResources::getAsyncCopyStreamCurrentDevice</a></div><div class="ttdeci">cudaStream_t getAsyncCopyStreamCurrentDevice()</div><div class="ttdoc">Calls getAsyncCopyStream for the current device. </div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8cpp_source.html#l00040">GpuResources.cpp:40</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_a622f95597cc2ed2f10f3ae9400dc685b"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#a622f95597cc2ed2f10f3ae9400dc685b">faiss::gpu::GpuResources::getAlternateStreamsCurrentDevice</a></div><div class="ttdeci">std::vector< cudaStream_t > getAlternateStreamsCurrentDevice()</div><div class="ttdoc">Calls getAlternateStreams for the current device. </div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8cpp_source.html#l00030">GpuResources.cpp:30</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_a104b291ed4116033752144e90856c2e7"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#a104b291ed4116033752144e90856c2e7">faiss::gpu::GpuResources::getAsyncCopyStream</a></div><div class="ttdeci">virtual cudaStream_t getAsyncCopyStream(int device)=0</div><div class="ttdoc">Returns the stream on which we perform async CPU &lt;-&gt; GPU copies. </div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_a130deab9f6d49cbdde8f9da45ce868fd"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#a130deab9f6d49cbdde8f9da45ce868fd">faiss::gpu::GpuResources::syncDefaultStream</a></div><div class="ttdeci">void syncDefaultStream(int device)</div><div class="ttdef"><b>Definition:</b> <a href="GpuResources_8cpp_source.html#l00045">GpuResources.cpp:45</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_a7fec58e9414f313fde4988a62f06cfab"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#a7fec58e9414f313fde4988a62f06cfab">faiss::gpu::GpuResources::getMemoryManager</a></div><div class="ttdeci">virtual DeviceMemory & getMemoryManager(int device)=0</div><div class="ttdoc">Returns the temporary memory manager for the given device. </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#l00046">DeviceMemory.h:46</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_ad1b018745239e03d0044b659335c17a8"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#ad1b018745239e03d0044b659335c17a8">faiss::gpu::GpuResources::getPinnedMemory</a></div><div class="ttdeci">virtual std::pair< void *, size_t > getPinnedMemory()=0</div><div class="ttdoc">Returns the available CPU pinned memory buffer. </div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1GpuResources_html_afb469bf3b107f43ef0d6abe4a014bb5b"><div class="ttname"><a href="classfaiss_1_1gpu_1_1GpuResources.html#afb469bf3b107f43ef0d6abe4a014bb5b">faiss::gpu::GpuResources::getAlternateStreams</a></div><div class="ttdeci">virtual std::vector< cudaStream_t > getAlternateStreams(int device)=0</div><div class="ttdoc">Returns the set of alternative streams that we use for the given device. </div></div>
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