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<li class="navelem"><a class="el" href="dir_6b3ae6988449b0834e9596fad5d75199.html">gpu</a></li><li class="navelem"><a class="el" href="dir_498271007b03b2a0521055e88776887b.html">utils</a></li> </ul>
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<div class="title">DeviceTensor.cuh</div> </div>
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<div class="contents">
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment"></span></div>
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<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">/**</span></div>
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<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * Copyright (c) 2015-present, Facebook, Inc.</span></div>
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<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * All rights reserved.</span></div>
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<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div>
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<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * This source code is licensed under the CC-by-NC license found in the</span></div>
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<div class="line"><a name="l00007"></a><span class="lineno"> 7</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="l00008"></a><span class="lineno"> 8</span> <span class="comment"> */</span></div>
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<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div>
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<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment">// Copyright 2004-present Facebook. All Rights Reserved.</span></div>
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<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div>
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<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#pragma once</span></div>
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<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor"></span></div>
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<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include "Tensor.cuh"</span></div>
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<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include "DeviceMemory.h"</span></div>
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<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div>
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<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>
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<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div>
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<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T,</div>
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<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keywordtype">int</span> Dim,</div>
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<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keywordtype">bool</span> Contig = <span class="keyword">false</span>,</div>
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<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">typename</span> IndexT = int,</div>
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<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keyword">template</span> <<span class="keyword">typename</span> U> <span class="keyword">class </span>PtrTraits = traits::DefaultPtrTraits></div>
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<div class="line"><a name="l00024"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html"> 24</a></span> <span class="keyword">class </span><a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor</a> : <span class="keyword">public</span> <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a><T, Dim, Contig, IndexT, PtrTraits> {</div>
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<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">public</span>:</div>
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<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">typedef</span> IndexT IndexType;</div>
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<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> PtrTraits<T>::PtrType DataPtrType;</div>
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<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"></span></div>
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<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> /// Default constructor</span></div>
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<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"></span> __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor</a>();</div>
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<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"></span></div>
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<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"> /// Destructor</span></div>
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<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"></span> __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a79e4a48f4e5dc6be1cce1d7a59bdeae5">~DeviceTensor</a>();</div>
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<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"></span></div>
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<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"> /// Move constructor</span></div>
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<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"></span> __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor</a>(<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor<T, Dim, Contig, IndexT, PtrTraits></a>&& t);</div>
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<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"></span></div>
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<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> /// Move assignment</span></div>
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<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"></span> __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor<T, Dim, Contig, IndexT, PtrTraits></a>&</div>
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<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#ac415c0806e44a36bb0c38620ce55e48a">operator=</a>(<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor<T, Dim, Contig, IndexT, PtrTraits></a>&& t);</div>
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<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"></span></div>
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<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"> /// Constructs a tensor of the given size, allocating memory for it</span></div>
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<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"> /// locally</span></div>
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<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"></span> __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor</a>(<span class="keyword">const</span> IndexT <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#ac3e0306267da475d8140bf6d12cf4af6">sizes</a>[Dim]);</div>
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<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor</a>(std::initializer_list<IndexT> <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#ac3e0306267da475d8140bf6d12cf4af6">sizes</a>);</div>
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<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"></span></div>
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<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"> /// Constructs a tensor of the given size, reserving a temporary</span></div>
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<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> /// memory reservation via a memory manager.</span></div>
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<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> /// The memory reservation should be ordered with respect to the</span></div>
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<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> /// given stream.</span></div>
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<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"></span> __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor</a>(<a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>& m,</div>
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<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">const</span> IndexT sizes[Dim],</div>
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<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  cudaStream_t stream);</div>
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<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor</a>(<a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>& m,</div>
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<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  std::initializer_list<IndexT> sizes,</div>
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<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  cudaStream_t stream);</div>
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<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"></span></div>
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<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> /// Constructs a tensor of the given size and stride, referencing a</span></div>
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<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> /// memory region we do not own</span></div>
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<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"></span> __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor</a>(DataPtrType <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a37d3ac0dffcaad29f09d6e85fb07b335">data</a>,</div>
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<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">const</span> IndexT sizes[Dim]);</div>
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<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor</a>(DataPtrType data,</div>
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<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  std::initializer_list<IndexT> sizes);</div>
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<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"></span></div>
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<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"> /// Constructs a tensor of the given size and stride, referencing a</span></div>
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<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> /// memory region we do not own</span></div>
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<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"></span> __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor</a>(DataPtrType data,</div>
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<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">const</span> IndexT sizes[Dim],</div>
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<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">const</span> IndexT <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a9a0a293f287e9cba68f31c9e57b79c64">strides</a>[Dim]);</div>
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<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"></span></div>
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<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="comment"> /// Copies a tensor into ourselves, allocating memory for it locally</span></div>
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<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="comment"></span> __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor</a>(<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor<T, Dim, Contig, IndexT, PtrTraits></a>& t,</div>
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<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  cudaStream_t stream);</div>
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<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment"></span></div>
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<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"> /// Copies a tensor into ourselves, reserving a temporary</span></div>
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<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"> /// memory reservation via a memory manager.</span></div>
|
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<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"></span> __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor</a>(<a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>& m,</div>
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<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor<T, Dim, Contig, IndexT, PtrTraits></a>& t,</div>
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<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  cudaStream_t stream);</div>
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<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"></span></div>
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<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"> /// Call to zero out memory</span></div>
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<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"></span> __host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor<T, Dim, Contig, IndexT, PtrTraits></a>&</div>
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<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f54565070c44a6147eab471e38af4b">zero</a>(cudaStream_t stream);</div>
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<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div>
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<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">private</span>:</div>
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<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">enum</span> AllocState {<span class="comment"></span></div>
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<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"> /// This tensor itself owns the memory, which must be freed via</span></div>
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<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"> /// cudaFree</span></div>
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<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="comment"></span> Owner,</div>
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<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="comment"></span></div>
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<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="comment"> /// This tensor itself is not an owner of the memory; there is</span></div>
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<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment"> /// nothing to free</span></div>
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<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment"></span> NotOwner,</div>
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<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"></span></div>
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<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"> /// This tensor has the memory via a temporary memory reservation</span></div>
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<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"></span> Reservation</div>
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<div class="line"><a name="l00097"></a><span class="lineno"> 97</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>  AllocState state_;</div>
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<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="classfaiss_1_1gpu_1_1DeviceMemoryReservation.html">DeviceMemoryReservation</a> reservation_;</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> </div>
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<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> } } <span class="comment">// namespace</span></div>
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<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div>
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<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="preprocessor">#include "DeviceTensor-inl.cuh"</span></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceTensor_html_ac415c0806e44a36bb0c38620ce55e48a"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html#ac415c0806e44a36bb0c38620ce55e48a">faiss::gpu::DeviceTensor::operator=</a></div><div class="ttdeci">__host__ DeviceTensor< T, Dim, Contig, IndexT, PtrTraits > & operator=(DeviceTensor< T, Dim, Contig, IndexT, PtrTraits > &&t)</div><div class="ttdoc">Move assignment. </div><div class="ttdef"><b>Definition:</b> <a href="DeviceTensor-inl_8cuh_source.html#l00038">DeviceTensor-inl.cuh:38</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html_a37d3ac0dffcaad29f09d6e85fb07b335"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html#a37d3ac0dffcaad29f09d6e85fb07b335">faiss::gpu::Tensor::data</a></div><div class="ttdeci">__host__ __device__ DataPtrType data()</div><div class="ttdoc">Returns a raw pointer to the start of our data. </div><div class="ttdef"><b>Definition:</b> <a href="Tensor_8cuh_source.html#l00162">Tensor.cuh:162</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceTensor_html_a7268e52fdb20e0ead0b299a38ebb3025"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">faiss::gpu::DeviceTensor::DeviceTensor</a></div><div class="ttdeci">__host__ DeviceTensor()</div><div class="ttdoc">Default constructor. </div><div class="ttdef"><b>Definition:</b> <a href="DeviceTensor-inl_8cuh_source.html#l00019">DeviceTensor-inl.cuh:19</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceTensor_html_af9f54565070c44a6147eab471e38af4b"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f54565070c44a6147eab471e38af4b">faiss::gpu::DeviceTensor::zero</a></div><div class="ttdeci">__host__ DeviceTensor< T, Dim, Contig, IndexT, PtrTraits > & zero(cudaStream_t stream)</div><div class="ttdoc">Call to zero out memory. </div><div class="ttdef"><b>Definition:</b> <a href="DeviceTensor-inl_8cuh_source.html#l00199">DeviceTensor-inl.cuh:199</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceTensor_html_a79e4a48f4e5dc6be1cce1d7a59bdeae5"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html#a79e4a48f4e5dc6be1cce1d7a59bdeae5">faiss::gpu::DeviceTensor::~DeviceTensor</a></div><div class="ttdeci">__host__ ~DeviceTensor()</div><div class="ttdoc">Destructor. </div><div class="ttdef"><b>Definition:</b> <a href="DeviceTensor-inl_8cuh_source.html#l00056">DeviceTensor-inl.cuh:56</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html_a9a0a293f287e9cba68f31c9e57b79c64"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html#a9a0a293f287e9cba68f31c9e57b79c64">faiss::gpu::Tensor::strides</a></div><div class="ttdeci">__host__ __device__ const IndexT * strides() const </div><div class="ttdoc">Returns the stride array. </div><div class="ttdef"><b>Definition:</b> <a href="Tensor_8cuh_source.html#l00236">Tensor.cuh:236</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a></div><div class="ttdoc">Our tensor type. </div><div class="ttdef"><b>Definition:</b> <a href="Tensor_8cuh_source.html#l00031">Tensor.cuh:31</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html_ac3e0306267da475d8140bf6d12cf4af6"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html#ac3e0306267da475d8140bf6d12cf4af6">faiss::gpu::Tensor::sizes</a></div><div class="ttdeci">__host__ __device__ const IndexT * sizes() const </div><div class="ttdoc">Returns the size array. </div><div class="ttdef"><b>Definition:</b> <a href="Tensor_8cuh_source.html#l00231">Tensor.cuh:231</a></div></div>
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<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#l00047">DeviceMemory.h:47</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceTensor_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html">faiss::gpu::DeviceTensor</a></div><div class="ttdef"><b>Definition:</b> <a href="DeviceTensor_8cuh_source.html#l00024">DeviceTensor.cuh:24</a></div></div>
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<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceMemoryReservation_html"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceMemoryReservation.html">faiss::gpu::DeviceMemoryReservation</a></div><div class="ttdef"><b>Definition:</b> <a href="DeviceMemory_8h_source.html#l00021">DeviceMemory.h:21</a></div></div>
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