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<li class="navelem"><a class="el" href="dir_5956a3e80a20e8e03eb577bedb92689f.html">gpu</a></li><li class="navelem"><a class="el" href="dir_5865795754b604b902e524ed1add5694.html">utils</a></li> </ul>
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<div class="title">DeviceTensor-inl.cuh</div> </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/**</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) Facebook, Inc. and its affiliates.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * This source code is licensed under the MIT license found in the</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> * LICENSE file in the root directory of this source tree.</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> */</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;</div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span> <span class="comment">// std::move</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;</div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="keyword">namespace </span>faiss { <span class="keyword">namespace </span>gpu {</div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</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> InnerContig,</div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</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="l00015"></a><span class="lineno"> 15</span>&#160;__host__</div>
<div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa"> 16</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::DeviceTensor</a>() :</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;(),</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; state_(AllocState::NotOwner),</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; space_(MemorySpace::Device) {</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;}</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> InnerContig,</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</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="l00024"></a><span class="lineno"> 24</span>&#160;__host__</div>
<div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a358b5346f88c3fc5b9bebcecb9349179"> 25</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;</a>&amp;&amp; t) :</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;(),</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; state_(AllocState::NotOwner),</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; space_(MemorySpace::Device) {</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#ae884d3cdfa70deb08d98ec90b638d359">operator=</a>(std::move(t));</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;}</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;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> InnerContig,</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</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="l00035"></a><span class="lineno"> 35</span>&#160;__host__</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;</a>&amp;</div>
<div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#ae884d3cdfa70deb08d98ec90b638d359"> 37</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#ae884d3cdfa70deb08d98ec90b638d359">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::operator=</a>(</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;</a>&amp;&amp; t) {</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordflow">if</span> (this-&gt;state_ == AllocState::Owner) {</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; CUDA_VERIFY(cudaFree(this-&gt;data_));</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; }</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; this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a0d831a352531281e06250cc6fe52a38a">Tensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::operator=</a>(</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; std::move(t));</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; this-&gt;state_ = t.state_; t.state_ = AllocState::NotOwner;</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; this-&gt;space_ = t.space_;</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> InnerContig,</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#a1ed30ec2ee0d3e7c9b8b9b93f5d2acca"> 56</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a1ed30ec2ee0d3e7c9b8b9b93f5d2acca">DeviceTensor&lt;T, Dim, InnerContig, 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="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> InnerContig,</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</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="l00069"></a><span class="lineno"> 69</span>&#160;__host__</div>
<div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a802a79923a7927ad7f8845a4823d7e07"> 70</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keyword">const</span> IndexT sizes[Dim],</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; MemorySpace space) :</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, InnerContig, 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; space_(space) {</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; allocMemorySpace(space, &amp;this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a>, this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a8220da958d022c322b80b0539c99f8d4">getSizeInBytes</a>());</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; FAISS_ASSERT(this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a> || (this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a8220da958d022c322b80b0539c99f8d4">getSizeInBytes</a>() == 0));</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;</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</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> InnerContig,</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</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="l00083"></a><span class="lineno"> 83</span>&#160;__host__</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; std::initializer_list&lt;IndexT&gt; sizes,</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; MemorySpace space) :</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;(nullptr, sizes),</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; state_(AllocState::Owner),</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; space_(space) {</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; allocMemorySpace(space, &amp;this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a>, this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a8220da958d022c322b80b0539c99f8d4">getSizeInBytes</a>());</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; FAISS_ASSERT(this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a> || (this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a8220da958d022c322b80b0539c99f8d4">getSizeInBytes</a>() == 0));</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> InnerContig,</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#a6a31cdeb8b2e4cf3398f24d2f4b01e44"> 99</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa">DeviceTensor&lt;T, Dim, InnerContig, 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; MemorySpace space) :</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;(nullptr, sizes),</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; state_(AllocState::Reservation),</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; space_(space) {</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; <span class="comment">// FIXME: add MemorySpace to DeviceMemory</span></div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</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#a8220da958d022c322b80b0539c99f8d4">getSizeInBytes</a>());</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a> = (T*) memory.get();</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; FAISS_ASSERT(this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a> || (this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a8220da958d022c322b80b0539c99f8d4">getSizeInBytes</a>() == 0));</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; reservation_ = std::move(memory);</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;}</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;<span class="comment">// memory reservation constructor</span></div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</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> InnerContig,</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</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="l00119"></a><span class="lineno"> 119</span>&#160;__host__</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>&amp; m,</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; std::initializer_list&lt;IndexT&gt; sizes,</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; cudaStream_t stream,</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; MemorySpace space) :</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;(nullptr, sizes),</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; state_(AllocState::Reservation),</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; space_(space) {</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; <span class="comment">// FIXME: add MemorySpace to DeviceMemory</span></div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</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#a8220da958d022c322b80b0539c99f8d4">getSizeInBytes</a>());</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; this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a> = (T*) memory.get();</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; FAISS_ASSERT(this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a> || (this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a8220da958d022c322b80b0539c99f8d4">getSizeInBytes</a>() == 0));</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; reservation_ = std::move(memory);</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160;}</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> InnerContig,</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</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="l00139"></a><span class="lineno"> 139</span>&#160;__host__</div>
<div class="line"><a name="l00140"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a150692d7a75ac74cded4f261dcacfd89"> 140</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; DataPtrType data,</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keyword">const</span> IndexT sizes[Dim],</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; MemorySpace space) :</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;(data, sizes),</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; state_(AllocState::NotOwner),</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; space_(space) {</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;}</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</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> InnerContig,</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</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="l00151"></a><span class="lineno"> 151</span>&#160;__host__</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; DataPtrType data,</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; std::initializer_list&lt;IndexT&gt; sizes,</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; MemorySpace space) :</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;(data, sizes),</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; state_(AllocState::NotOwner),</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; space_(space) {</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160;}</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</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> InnerContig,</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</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="l00163"></a><span class="lineno"> 163</span>&#160;__host__</div>
<div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#abb0b3b58d906c23b5fff851fa21d7696"> 164</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; DataPtrType data,</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <span class="keyword">const</span> IndexT sizes[Dim],</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <span class="keyword">const</span> IndexT strides[Dim],</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; MemorySpace space) :</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, InnerContig, IndexT, PtrTraits&gt;(data, sizes, strides),</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; state_(AllocState::NotOwner),</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; space_(space) {</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;}</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</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> InnerContig,</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</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="l00176"></a><span class="lineno"> 176</span>&#160;__host__</div>
<div class="line"><a name="l00177"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a04352077a309b808e9ac6ead3d8c817e"> 177</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;</a>&amp; t,</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; cudaStream_t stream,</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; MemorySpace space) :</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;(nullptr, t.sizes(), t.strides()),</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; state_(AllocState::Owner),</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; space_(space) {</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160;</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; allocMemorySpace(space_, &amp;this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a>, this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a8220da958d022c322b80b0539c99f8d4">getSizeInBytes</a>());</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; FAISS_ASSERT(this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a> || (this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a8220da958d022c322b80b0539c99f8d4">getSizeInBytes</a>() == 0));</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a6dc00c182a92389b74c89ba7fcab40d3">copyFrom</a>(t, stream);</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;</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</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> InnerContig,</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</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="l00192"></a><span class="lineno"> 192</span>&#160;__host__</div>
<div class="line"><a name="l00193"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#acab1231fa38be85d6d4ed43e72747545"> 193</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::DeviceTensor</a>(</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1DeviceMemory.html">DeviceMemory</a>&amp; m,</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;</a>&amp; t,</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; cudaStream_t stream,</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; MemorySpace space) :</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; <a class="code" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;(nullptr, t.sizes(), t.strides()),</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; state_(AllocState::Reservation),</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; space_(space) {</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160;</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; <span class="comment">// FIXME: add MemorySpace to DeviceMemory</span></div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</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#a8220da958d022c322b80b0539c99f8d4">getSizeInBytes</a>());</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; this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a> = (T*) memory.get();</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; FAISS_ASSERT(this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a> || (this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a8220da958d022c322b80b0539c99f8d4">getSizeInBytes</a>() == 0));</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; reservation_ = std::move(memory);</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; this-&gt;<a class="code" href="classfaiss_1_1gpu_1_1Tensor.html#a6dc00c182a92389b74c89ba7fcab40d3">copyFrom</a>(t, stream);</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="keyword">template</span> &lt;<span class="keyword">typename</span> T, <span class="keywordtype">int</span> Dim, <span class="keywordtype">bool</span> InnerContig,</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</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="l00214"></a><span class="lineno"> 214</span>&#160;__host__ <a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;</a>&amp;</div>
<div class="line"><a name="l00215"></a><span class="lineno"><a class="line" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a6793f5bd0493b47693369670b1b02591"> 215</a></span>&#160;<a class="code" href="classfaiss_1_1gpu_1_1DeviceTensor.html#a6793f5bd0493b47693369670b1b02591">DeviceTensor&lt;T, Dim, InnerContig, IndexT, PtrTraits&gt;::zero</a>(</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; cudaStream_t stream) {</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <span class="keywordflow">if</span> (this-&gt;data_) {</div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; <span class="comment">// Region must be contiguous</span></div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; FAISS_ASSERT(this-&gt;isContiguous());</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160;</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; CUDA_VERIFY(cudaMemsetAsync(</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; this-&gt;data_, 0, this-&gt;getSizeInBytes(), stream));</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; }</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;}</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;</div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;} } <span class="comment">// namespace</span></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceTensor_html_a1ed30ec2ee0d3e7c9b8b9b93f5d2acca"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html#a1ed30ec2ee0d3e7c9b8b9b93f5d2acca">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_1DeviceTensor_html_a6793f5bd0493b47693369670b1b02591"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html#a6793f5bd0493b47693369670b1b02591">faiss::gpu::DeviceTensor::zero</a></div><div class="ttdeci">__host__ DeviceTensor&lt; T, Dim, InnerContig, 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#l00215">DeviceTensor-inl.cuh:215</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html_a2ec506a25e46cf7001060a6ba5ae3b94"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">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#l00342">Tensor.cuh:342</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_1Tensor_html_a6dc00c182a92389b74c89ba7fcab40d3"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html#a6dc00c182a92389b74c89ba7fcab40d3">faiss::gpu::Tensor::copyFrom</a></div><div class="ttdeci">__host__ void copyFrom(Tensor&lt; T, Dim, InnerContig, 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#l00130">Tensor-inl.cuh:130</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html_a0d831a352531281e06250cc6fe52a38a"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html#a0d831a352531281e06250cc6fe52a38a">faiss::gpu::Tensor::operator=</a></div><div class="ttdeci">__host__ __device__ Tensor&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; &amp; operator=(Tensor&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; &amp;t)</div><div class="ttdoc">Assignment. </div><div class="ttdef"><b>Definition:</b> <a href="Tensor-inl_8cuh_source.html#l00048">Tensor-inl.cuh:48</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#l00028">Tensor.cuh:28</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceTensor_html_af9f2fbf3efff7eed5231fa7d26273ffa"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html#af9f2fbf3efff7eed5231fa7d26273ffa">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#l00016">DeviceTensor-inl.cuh:16</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1DeviceTensor_html_ae884d3cdfa70deb08d98ec90b638d359"><div class="ttname"><a href="classfaiss_1_1gpu_1_1DeviceTensor.html#ae884d3cdfa70deb08d98ec90b638d359">faiss::gpu::DeviceTensor::operator=</a></div><div class="ttdeci">__host__ DeviceTensor&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; &amp; operator=(DeviceTensor&lt; T, Dim, InnerContig, 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#l00037">DeviceTensor-inl.cuh:37</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_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#l00022">DeviceTensor.cuh:22</a></div></div>
<div class="ttc" id="classfaiss_1_1gpu_1_1Tensor_html_a8220da958d022c322b80b0539c99f8d4"><div class="ttname"><a href="classfaiss_1_1gpu_1_1Tensor.html#a8220da958d022c322b80b0539c99f8d4">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#l00238">Tensor.cuh:238</a></div></div>
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