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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-inl.cuh</div>  </div>
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<div class="contents">
<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">/**</span></div>
<div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> * Copyright (c) 2015-present, Facebook, Inc.</span></div>
<div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * All rights reserved.</span></div>
<div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * This source code is licensed under the CC-by-NC license found in the</span></div>
<div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> */</span></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="comment">// Copyright 2004-present Facebook. All Rights Reserved.</span></div>
<div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div>
<div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span> <span class="comment">// std::move</span></div>
<div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div>
<div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;</div>
<div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;__host__</div>
<div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">   19</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::DeviceTensor</a>() :</div>
<div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, Contig, IndexT, PtrTraits&gt;(),</div>
<div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;    state_(AllocState::NotOwner) {</div>
<div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;}</div>
<div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div>
<div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;__host__</div>
<div class="line"><a name="l00027"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a93dbc2c1cf3160acdf00ad782bfe1611">   27</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;</a>&amp;&amp; t) :</div>
<div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, Contig, IndexT, PtrTraits&gt;(),</div>
<div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    state_(AllocState::NotOwner) {</div>
<div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;  this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#ac415c0806e44a36bb0c38620ce55e48a">operator=</a>(std::move(t));</div>
<div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;}</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="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;__host__</div>
<div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;</a>&amp;</div>
<div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#ac415c0806e44a36bb0c38620ce55e48a">   38</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#ac415c0806e44a36bb0c38620ce55e48a">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::operator=</a>(</div>
<div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;</a>&amp;&amp; t) {</div>
<div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;  <span class="keywordflow">if</span> (this-&gt;state_ == AllocState::Owner) {</div>
<div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    CUDA_VERIFY(cudaFree(this-&gt;data_));</div>
<div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;  }</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;  this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a55896db55a03e43a1789886aa22a0ba4">Tensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::operator=</a>(</div>
<div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    std::move(t));</div>
<div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;</div>
<div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;  this-&gt;state_ = t.state_; t.state_ = AllocState::NotOwner;</div>
<div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;  this-&gt;reservation_ = std::move(t.reservation_);</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;  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;}</div>
<div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;</div>
<div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;__host__</div>
<div class="line"><a name="l00056"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a79e4a48f4e5dc6be1cce1d7a59bdeae5">   56</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a79e4a48f4e5dc6be1cce1d7a59bdeae5">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::~DeviceTensor</a>() {</div>
<div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;  <span class="keywordflow">if</span> (state_ == AllocState::Owner) {</div>
<div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    FAISS_ASSERT(this-&gt;data_ || (this-&gt;getSizeInBytes() == 0));</div>
<div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    CUDA_VERIFY(cudaFree(this-&gt;data_));</div>
<div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    this-&gt;data_ = <span class="keyword">nullptr</span>;</div>
<div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;  }</div>
<div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div>
<div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;  <span class="comment">// Otherwise, if we have a temporary memory reservation, then its</span></div>
<div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;  <span class="comment">// destructor will return the reservation</span></div>
<div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;}</div>
<div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div>
<div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;<span class="comment">// cudaMalloc constructor</span></div>
<div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;__host__</div>
<div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#afd9eaa5ca4c9cfa0c0143862bc8a48a4">   71</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;  <span class="keyword">const</span> IndexT sizes[Dim]) :</div>
<div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, Contig, IndexT, PtrTraits&gt;(nullptr, sizes),</div>
<div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    state_(AllocState::Owner) {</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;  CUDA_VERIFY(cudaMalloc(&amp;this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">data_</a>, this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>()));</div>
<div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;  FAISS_ASSERT(this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">data_</a> || (this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>() == 0));</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;</div>
<div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;__host__</div>
<div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;  std::initializer_list&lt;IndexT&gt; sizes) :</div>
<div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, Contig, IndexT, PtrTraits&gt;(nullptr, sizes),</div>
<div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    state_(AllocState::Owner) {</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;  CUDA_VERIFY(cudaMalloc(&amp;this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">data_</a>, this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>()));</div>
<div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;  <span class="keywordflow">if</span>(!(this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">data_</a> || this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>() == 0)) {</div>
<div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    fprintf(stderr, <span class="stringliteral">&quot;could not cudaMalloc %ld bytes!\n&quot;</span>,  this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>()); </div>
<div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    abort();</div>
<div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;  }</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;</div>
<div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;<span class="comment">// memory reservation constructor</span></div>
<div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;__host__</div>
<div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a5036a292966adb3f5824dd952b903544">   99</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>&amp; m,</div>
<div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;  <span class="keyword">const</span> IndexT sizes[Dim],</div>
<div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;  cudaStream_t stream) :</div>
<div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, Contig, IndexT, PtrTraits&gt;(nullptr, sizes),</div>
<div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    state_(AllocState::Reservation) {</div>
<div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;</div>
<div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;  <span class="keyword">auto</span> memory = m.<a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html#a4adf60b9a0561e6319aa5cb7f42558d7">getMemory</a>(stream, this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>());</div>
<div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;</div>
<div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;  this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">data_</a> = (T*) memory.get();</div>
<div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;  FAISS_ASSERT(this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">data_</a> || (this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>() == 0));</div>
<div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;  reservation_ = std::move(memory);</div>
<div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;}</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;<span class="comment">// memory reservation constructor</span></div>
<div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;__host__</div>
<div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>&amp; m,</div>
<div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;  std::initializer_list&lt;IndexT&gt; sizes,</div>
<div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;  cudaStream_t stream) :</div>
<div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, Contig, IndexT, PtrTraits&gt;(nullptr, sizes),</div>
<div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    state_(AllocState::Reservation) {</div>
<div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;</div>
<div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;  <span class="keyword">auto</span> memory =</div>
<div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    m.<a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html#a4adf60b9a0561e6319aa5cb7f42558d7">getMemory</a>(stream, this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>());</div>
<div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div>
<div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;  this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">data_</a> = (T*) memory.get();</div>
<div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;  FAISS_ASSERT(this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">data_</a> || (this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>() == 0));</div>
<div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;  reservation_ = std::move(memory);</div>
<div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;}</div>
<div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;</div>
<div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;__host__</div>
<div class="line"><a name="l00135"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#abfe600b7b5327f46cc0d0e6c0ae103a6">  135</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;  DataPtrType data,</div>
<div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;  <span class="keyword">const</span> IndexT sizes[Dim]) :</div>
<div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, Contig, IndexT, PtrTraits&gt;(data, sizes),</div>
<div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    state_(AllocState::NotOwner) {</div>
<div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;}</div>
<div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;</div>
<div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;__host__</div>
<div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;  DataPtrType data,</div>
<div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;  std::initializer_list&lt;IndexT&gt; sizes) :</div>
<div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, Contig, IndexT, PtrTraits&gt;(data, sizes),</div>
<div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    state_(AllocState::NotOwner) {</div>
<div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;}</div>
<div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;</div>
<div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;__host__</div>
<div class="line"><a name="l00155"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a947bd32744d1dca6106343904056fc1e">  155</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;  DataPtrType data,</div>
<div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;  <span class="keyword">const</span> IndexT sizes[Dim],</div>
<div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;  <span class="keyword">const</span> IndexT strides[Dim]) :</div>
<div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, Contig, IndexT, PtrTraits&gt;(data, sizes, strides),</div>
<div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    state_(AllocState::NotOwner) {</div>
<div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;}</div>
<div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;</div>
<div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;__host__</div>
<div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a83f43f16c8d65fd2f6f8485c9b421e7c">  166</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;</a>&amp; t,</div>
<div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;  cudaStream_t stream) :</div>
<div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, Contig, IndexT, PtrTraits&gt;(nullptr, t.sizes(), t.strides()),</div>
<div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    state_(AllocState::Owner) {</div>
<div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;</div>
<div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;  CUDA_VERIFY(cudaMalloc(&amp;this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">data_</a>, this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>()));</div>
<div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;  FAISS_ASSERT(this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">data_</a> || (this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>() == 0));</div>
<div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;  this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#ae981a94263044f38be89d690dd958426">copyFrom</a>(t, stream);</div>
<div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;}</div>
<div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;</div>
<div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;__host__</div>
<div class="line"><a name="l00180"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a83f14f9b2bbaf8ec7d9ad596ee2e2577">  180</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a7268e52fdb20e0ead0b299a38ebb3025">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>&amp; m,</div>
<div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;  <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;</a>&amp; t,</div>
<div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;  cudaStream_t stream) :</div>
<div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, Contig, IndexT, PtrTraits&gt;(nullptr, t.sizes(), t.strides()),</div>
<div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;    state_(AllocState::Reservation) {</div>
<div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;</div>
<div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;  <span class="keyword">auto</span> memory = m.<a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html#a4adf60b9a0561e6319aa5cb7f42558d7">getMemory</a>(stream, this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>());</div>
<div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;</div>
<div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;  this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">data_</a> = (T*) memory.get();</div>
<div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;  FAISS_ASSERT(this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">data_</a> || (this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">getSizeInBytes</a>() == 0));</div>
<div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;  reservation_ = std::move(memory);</div>
<div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;</div>
<div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;  this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#ae981a94263044f38be89d690dd958426">copyFrom</a>(t, stream);</div>
<div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;}</div>
<div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div>
<div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> Contig,</div>
<div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;          <span class="keyword">typename</span> IndexT, <span class="keyword">template</span> &lt;<span class="keyword">typename</span> U&gt; <span class="keyword">class </span>PtrTraits&gt;</div>
<div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;__host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;</a>&amp;</div>
<div class="line"><a name="l00199"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f54565070c44a6147eab471e38af4b">  199</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f54565070c44a6147eab471e38af4b">DeviceTensor&lt;T, Dim, Contig, IndexT, PtrTraits&gt;::zero</a>(</div>
<div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;  cudaStream_t stream) {</div>
<div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;  <span class="keywordflow">if</span> (this-&gt;data_) {</div>
<div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;    <span class="comment">// Region must be contiguous</span></div>
<div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    FAISS_ASSERT(this-&gt;isContiguous());</div>
<div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;</div>
<div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    CUDA_VERIFY(cudaMemsetAsync(</div>
<div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;                  this-&gt;data_, 0, this-&gt;getSizeInBytes(), stream));</div>
<div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;  }</div>
<div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;</div>
<div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;}</div>
<div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;</div>
<div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;} } <span class="comment">// namespace</span></div>
<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&lt; T, Dim, Contig, IndexT, PtrTraits &gt; &amp; operator=(DeviceTensor&lt; T, Dim, Contig, IndexT, PtrTraits &gt; &amp;&amp;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>
<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>
<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html_a08024dbcaed3c1235cac62b476f14509"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html#a08024dbcaed3c1235cac62b476f14509">faiss::gpu::Tensor::data_</a></div><div class="ttdeci">DataPtrType data_</div><div class="ttdoc">Raw pointer to where the tensor data begins. </div><div class="ttdef"><b>Definition:</b> <a href="Tensor_8cuh_source.html#l00331">Tensor.cuh:331</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html_a55896db55a03e43a1789886aa22a0ba4"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html#a55896db55a03e43a1789886aa22a0ba4">faiss::gpu::Tensor::operator=</a></div><div class="ttdeci">__host__ __device__ Tensor&lt; T, Dim, Contig, IndexT, PtrTraits &gt; &amp; operator=(Tensor&lt; T, Dim, Contig, IndexT, PtrTraits &gt; &amp;t)=default</div><div class="ttdoc">Assignment. </div></div>
<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&lt; T, Dim, Contig, IndexT, PtrTraits &gt; &amp; 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>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceMemory_html_a4adf60b9a0561e6319aa5cb7f42558d7"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceMemory.html#a4adf60b9a0561e6319aa5cb7f42558d7">faiss::gpu::DeviceMemory::getMemory</a></div><div class="ttdeci">virtual DeviceMemoryReservation getMemory(cudaStream_t stream, size_t size)=0</div></div>
<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>
<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>
<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html_aae42c9c020682fd094958976d8e610ad"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html#aae42c9c020682fd094958976d8e610ad">faiss::gpu::Tensor::getSizeInBytes</a></div><div class="ttdeci">__host__ __device__ size_t getSizeInBytes() const </div><div class="ttdef"><b>Definition:</b> <a href="Tensor_8cuh_source.html#l00226">Tensor.cuh:226</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html_ae981a94263044f38be89d690dd958426"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html#ae981a94263044f38be89d690dd958426">faiss::gpu::Tensor::copyFrom</a></div><div class="ttdeci">__host__ void copyFrom(Tensor&lt; T, Dim, Contig, IndexT, PtrTraits &gt; &amp;t, cudaStream_t stream)</div><div class="ttdoc">Copies a tensor into ourselves; sizes must match. </div><div class="ttdef"><b>Definition:</b> <a href="Tensor-inl_8cuh_source.html#l00101">Tensor-inl.cuh:101</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#l00047">DeviceMemory.h:47</a></div></div>
<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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