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<li class="navelem"><a class="el" href="namespacefaiss.html">faiss</a></li><li class="navelem"><b>gpu</b></li><li class="navelem"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a></li> </ul>
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<a href="#pub-types">Public Types</a> &#124;
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<div class="title">faiss::gpu::Tensor&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; Class Template Reference</div> </div>
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<p>Our tensor type.
<a href="classfaiss_1_1gpu_1_1Tensor.html#details">More...</a></p>
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Inheritance diagram for faiss::gpu::Tensor&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;:</div>
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<map id="faiss::gpu::Tensor&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;_map" name="faiss::gpu::Tensor&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;_map">
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:a072171dcad6979257d1d28dfdc9c6eb0"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom">{ <b>NumDim</b> = Dim
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<tr class="separator:a072171dcad6979257d1d28dfdc9c6eb0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a828306db3c0bcaecca6d3888eb3bda24"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom">{ <b>IsInnerContig</b> = InnerContig
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<tr class="separator:a828306db3c0bcaecca6d3888eb3bda24"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac93f0549a9f5445b661360d98f81a886"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="ac93f0549a9f5445b661360d98f81a886"></a>
typedef T&#160;</td><td class="memItemRight" valign="bottom"><b>DataType</b></td></tr>
<tr class="separator:ac93f0549a9f5445b661360d98f81a886"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6f1736cc50bddec6ccce56ae1a1cdbfd"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a6f1736cc50bddec6ccce56ae1a1cdbfd"></a>
typedef IndexT&#160;</td><td class="memItemRight" valign="bottom"><b>IndexType</b></td></tr>
<tr class="separator:a6f1736cc50bddec6ccce56ae1a1cdbfd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:afb400f8869fab312c801fab02e70f547"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="afb400f8869fab312c801fab02e70f547"></a>
typedef PtrTraits&lt; T &gt;::PtrType&#160;</td><td class="memItemRight" valign="bottom"><b>DataPtrType</b></td></tr>
<tr class="separator:afb400f8869fab312c801fab02e70f547"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a93bf6ccd5c40c1e936c5b9eb0aabc70f"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a93bf6ccd5c40c1e936c5b9eb0aabc70f"></a>
typedef <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, Dim, <br class="typebreak"/>
InnerContig, IndexT, PtrTraits &gt;&#160;</td><td class="memItemRight" valign="bottom"><b>TensorType</b></td></tr>
<tr class="separator:a93bf6ccd5c40c1e936c5b9eb0aabc70f"><td class="memSeparator" colspan="2">&#160;</td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a8ae7b3f95991125a5648c3b78afd40bd"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a8ae7b3f95991125a5648c3b78afd40bd"></a>
__host__ __device__&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a8ae7b3f95991125a5648c3b78afd40bd">Tensor</a> ()</td></tr>
<tr class="memdesc:a8ae7b3f95991125a5648c3b78afd40bd"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor. <br/></td></tr>
<tr class="separator:a8ae7b3f95991125a5648c3b78afd40bd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a4396d8789bb829a4d614900b2a632bc9"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a4396d8789bb829a4d614900b2a632bc9"></a>
__host__ __device__&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a4396d8789bb829a4d614900b2a632bc9">Tensor</a> (<a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; &amp;t)</td></tr>
<tr class="memdesc:a4396d8789bb829a4d614900b2a632bc9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Copy constructor. <br/></td></tr>
<tr class="separator:a4396d8789bb829a4d614900b2a632bc9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a37db8663b2fd9e1da8c4dea4e2bdb1f3"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a37db8663b2fd9e1da8c4dea4e2bdb1f3"></a>
__host__ __device__&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a37db8663b2fd9e1da8c4dea4e2bdb1f3">Tensor</a> (<a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; &amp;&amp;t)</td></tr>
<tr class="memdesc:a37db8663b2fd9e1da8c4dea4e2bdb1f3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Move constructor. <br/></td></tr>
<tr class="separator:a37db8663b2fd9e1da8c4dea4e2bdb1f3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a0d831a352531281e06250cc6fe52a38a"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a0d831a352531281e06250cc6fe52a38a"></a>
__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, <br class="typebreak"/>
Dim, InnerContig, IndexT, <br class="typebreak"/>
PtrTraits &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a0d831a352531281e06250cc6fe52a38a">operator=</a> (<a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; &amp;t)</td></tr>
<tr class="memdesc:a0d831a352531281e06250cc6fe52a38a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Assignment. <br/></td></tr>
<tr class="separator:a0d831a352531281e06250cc6fe52a38a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae086a03b8067e18d0c2dda0892dc9e39"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="ae086a03b8067e18d0c2dda0892dc9e39"></a>
__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, <br class="typebreak"/>
Dim, InnerContig, IndexT, <br class="typebreak"/>
PtrTraits &gt; &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#ae086a03b8067e18d0c2dda0892dc9e39">operator=</a> (<a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; &amp;&amp;t)</td></tr>
<tr class="memdesc:ae086a03b8067e18d0c2dda0892dc9e39"><td class="mdescLeft">&#160;</td><td class="mdescRight">Move assignment. <br/></td></tr>
<tr class="separator:ae086a03b8067e18d0c2dda0892dc9e39"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a88210dee96fc97b00f0ab45749528fe9"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a88210dee96fc97b00f0ab45749528fe9"></a>
__host__ __device__&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a88210dee96fc97b00f0ab45749528fe9">Tensor</a> (DataPtrType <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a50411ce4d0fa32ef715e3321b6e33212">data</a>, const IndexT <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#abc0ecc4f882ee09632b5a06be0619adb">sizes</a>[Dim])</td></tr>
<tr class="memdesc:a88210dee96fc97b00f0ab45749528fe9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor that calculates strides with no padding. <br/></td></tr>
<tr class="separator:a88210dee96fc97b00f0ab45749528fe9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a747a7b43c01f54158798b28728b2dfc0"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a747a7b43c01f54158798b28728b2dfc0"></a>
__host__ __device__&#160;</td><td class="memItemRight" valign="bottom"><b>Tensor</b> (DataPtrType <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a50411ce4d0fa32ef715e3321b6e33212">data</a>, std::initializer_list&lt; IndexT &gt; <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#abc0ecc4f882ee09632b5a06be0619adb">sizes</a>)</td></tr>
<tr class="separator:a747a7b43c01f54158798b28728b2dfc0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ac651b20d86813b8928f05cde4fb1ff7d"><td class="memItemLeft" align="right" valign="top">__host__ __device__&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#ac651b20d86813b8928f05cde4fb1ff7d">Tensor</a> (DataPtrType <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a50411ce4d0fa32ef715e3321b6e33212">data</a>, const IndexT <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#abc0ecc4f882ee09632b5a06be0619adb">sizes</a>[Dim], const IndexT <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a87a777247486756e99060547a3cc833a">strides</a>[Dim])</td></tr>
<tr class="separator:ac651b20d86813b8928f05cde4fb1ff7d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6dc00c182a92389b74c89ba7fcab40d3"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a6dc00c182a92389b74c89ba7fcab40d3"></a>
__host__ void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a6dc00c182a92389b74c89ba7fcab40d3">copyFrom</a> (<a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; &amp;t, cudaStream_t stream)</td></tr>
<tr class="memdesc:a6dc00c182a92389b74c89ba7fcab40d3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Copies a tensor into ourselves; sizes must match. <br/></td></tr>
<tr class="separator:a6dc00c182a92389b74c89ba7fcab40d3"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6cc21376070a03d77661d6e333972c6a"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a6cc21376070a03d77661d6e333972c6a"></a>
__host__ void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a6cc21376070a03d77661d6e333972c6a">copyTo</a> (<a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; &amp;t, cudaStream_t stream)</td></tr>
<tr class="memdesc:a6cc21376070a03d77661d6e333972c6a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Copies ourselves into a tensor; sizes must match. <br/></td></tr>
<tr class="separator:a6cc21376070a03d77661d6e333972c6a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a3067941f8f8f09fc73e2f06243699825"><td class="memTemplParams" colspan="2">template&lt;typename OtherT , int OtherDim&gt; </td></tr>
<tr class="memitem:a3067941f8f8f09fc73e2f06243699825"><td class="memTemplItemLeft" align="right" valign="top">__host__ __device__ bool&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a3067941f8f8f09fc73e2f06243699825">isSame</a> (const <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; OtherT, OtherDim, InnerContig, IndexT, PtrTraits &gt; &amp;rhs) const </td></tr>
<tr class="separator:a3067941f8f8f09fc73e2f06243699825"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a22c1e45f81f7f9e5427e2eed19f9cd11"><td class="memTemplParams" colspan="2"><a class="anchor" id="a22c1e45f81f7f9e5427e2eed19f9cd11"></a>
template&lt;typename OtherT , int OtherDim&gt; </td></tr>
<tr class="memitem:a22c1e45f81f7f9e5427e2eed19f9cd11"><td class="memTemplItemLeft" align="right" valign="top">__host__ __device__ bool&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a22c1e45f81f7f9e5427e2eed19f9cd11">isSameSize</a> (const <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; OtherT, OtherDim, InnerContig, IndexT, PtrTraits &gt; &amp;rhs) const </td></tr>
<tr class="memdesc:a22c1e45f81f7f9e5427e2eed19f9cd11"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns true if the two tensors are of the same dimensionality and size. <br/></td></tr>
<tr class="separator:a22c1e45f81f7f9e5427e2eed19f9cd11"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2894f8fdfab8ec3245364a6f9e8a5259"><td class="memTemplParams" colspan="2">template&lt;typename U &gt; </td></tr>
<tr class="memitem:a2894f8fdfab8ec3245364a6f9e8a5259"><td class="memTemplItemLeft" align="right" valign="top">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; U, <br class="typebreak"/>
Dim, InnerContig, IndexT, <br class="typebreak"/>
PtrTraits &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a2894f8fdfab8ec3245364a6f9e8a5259">cast</a> ()</td></tr>
<tr class="separator:a2894f8fdfab8ec3245364a6f9e8a5259"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a79a16bd4300ca8fdba52932c7c97cce9"><td class="memTemplParams" colspan="2"><a class="anchor" id="a79a16bd4300ca8fdba52932c7c97cce9"></a>
template&lt;typename U &gt; </td></tr>
<tr class="memitem:a79a16bd4300ca8fdba52932c7c97cce9"><td class="memTemplItemLeft" align="right" valign="top">__host__ __device__ const <br class="typebreak"/>
<a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; U, Dim, InnerContig, <br class="typebreak"/>
IndexT, PtrTraits &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a79a16bd4300ca8fdba52932c7c97cce9">cast</a> () const </td></tr>
<tr class="memdesc:a79a16bd4300ca8fdba52932c7c97cce9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Const version of <code>cast</code> <br/></td></tr>
<tr class="separator:a79a16bd4300ca8fdba52932c7c97cce9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6c9640c365134ccc33cdb2695b016eb3"><td class="memTemplParams" colspan="2">template&lt;typename U &gt; </td></tr>
<tr class="memitem:a6c9640c365134ccc33cdb2695b016eb3"><td class="memTemplItemLeft" align="right" valign="top">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; U, <br class="typebreak"/>
Dim, InnerContig, IndexT, <br class="typebreak"/>
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template&lt;typename U &gt; </td></tr>
<tr class="memitem:ae06338d9b19c62452c2111682447f863"><td class="memTemplItemLeft" align="right" valign="top">__host__ __device__ const <br class="typebreak"/>
<a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; U, Dim, InnerContig, <br class="typebreak"/>
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template&lt;typename U &gt; </td></tr>
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<tr class="memdesc:a7fbbf51f8ef6bea9cc863a86e20d994e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns true if we can <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a6c9640c365134ccc33cdb2695b016eb3">castResize()</a> this tensor to the new type. <br/></td></tr>
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<tr class="memitem:a9f0c817e9751fe02926c2346a97f0350"><td class="memTemplItemLeft" align="right" valign="top">__host__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, Dim, <br class="typebreak"/>
InnerContig, NewIndexT, <br class="typebreak"/>
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__host__ __device__ DataPtrType&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a50411ce4d0fa32ef715e3321b6e33212">data</a> ()</td></tr>
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<tr class="memdesc:afde15195e51318fd1811ea402f63c1ab"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a raw pointer to the start of our data (const). <br/></td></tr>
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template&lt;typename U &gt; </td></tr>
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&lt; U &gt;::PtrType&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a38adf20225c9f8f764aafe273c4ee122">dataAs</a> ()</td></tr>
<tr class="memdesc:a38adf20225c9f8f764aafe273c4ee122"><td class="mdescLeft">&#160;</td><td class="mdescRight">Cast to a different datatype. <br/></td></tr>
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template&lt;typename U &gt; </td></tr>
<tr class="memitem:a76383e7f62a826ba55955bd3d1dddce7"><td class="memTemplItemLeft" align="right" valign="top">__host__ __device__ const <br class="typebreak"/>
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<tr class="memdesc:a76383e7f62a826ba55955bd3d1dddce7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Cast to a different datatype. <br/></td></tr>
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__host__ __device__ <br class="typebreak"/>
<a class="el" href="classfaiss_1_1gpu_1_1detail_1_1SubTensor.html">detail::SubTensor</a>&lt; <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">TensorType</a>, <br class="typebreak"/>
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__host__ __device__ const <br class="typebreak"/>
<a class="el" href="classfaiss_1_1gpu_1_1detail_1_1SubTensor.html">detail::SubTensor</a>&lt; <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">TensorType</a>, <br class="typebreak"/>
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<tr class="memitem:a0b8bba630f7a1fa217f90b20d298420a"><td class="memItemLeft" align="right" valign="top">__host__ __device__ IndexT&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a0b8bba630f7a1fa217f90b20d298420a">getStride</a> (int i) const </td></tr>
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__host__ __device__ const IndexT *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#abc0ecc4f882ee09632b5a06be0619adb">sizes</a> () const </td></tr>
<tr class="memdesc:abc0ecc4f882ee09632b5a06be0619adb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the size array. <br/></td></tr>
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__host__ __device__ const IndexT *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a87a777247486756e99060547a3cc833a">strides</a> () const </td></tr>
<tr class="memdesc:a87a777247486756e99060547a3cc833a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the stride array. <br/></td></tr>
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__host__ __device__ bool&#160;</td><td class="memItemRight" valign="bottom"><b>isConsistentlySized</b> () const </td></tr>
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__host__ __device__ bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a3f4e3c6afdf4a03308756b6ae6462c38">isContiguousDim</a> (int i) const </td></tr>
<tr class="memdesc:a3f4e3c6afdf4a03308756b6ae6462c38"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns true if the given dimension index has no padding. <br/></td></tr>
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<tr class="memitem:a82a3484a6458e3e95bb91d320f2c6731"><td class="memItemLeft" align="right" valign="top">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, <br class="typebreak"/>
Dim, InnerContig, IndexT, <br class="typebreak"/>
PtrTraits &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a82a3484a6458e3e95bb91d320f2c6731">transpose</a> (int dim1, int dim2) const </td></tr>
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<tr class="memitem:a309eb97e9c6dbfdecf383343c072d38c"><td class="memTemplParams" colspan="2">template&lt;int NewDim&gt; </td></tr>
<tr class="memitem:a309eb97e9c6dbfdecf383343c072d38c"><td class="memTemplItemLeft" align="right" valign="top">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, <br class="typebreak"/>
NewDim, InnerContig, IndexT, <br class="typebreak"/>
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<tr class="memitem:aee5cf46d16344e2a055cf63adb07d24a"><td class="memTemplParams" colspan="2">template&lt;int NewDim&gt; </td></tr>
<tr class="memitem:aee5cf46d16344e2a055cf63adb07d24a"><td class="memTemplItemLeft" align="right" valign="top">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, <br class="typebreak"/>
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<tr class="memitem:a2185b0c1c2c06cc3a4dab6a88eb6d001"><td class="memTemplParams" colspan="2">template&lt;int NewDim&gt; </td></tr>
<tr class="memitem:a2185b0c1c2c06cc3a4dab6a88eb6d001"><td class="memTemplItemLeft" align="right" valign="top">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, <br class="typebreak"/>
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<tr class="separator:a2185b0c1c2c06cc3a4dab6a88eb6d001"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a6a43125c6f429f28161d59f19eb8e5c5"><td class="memTemplParams" colspan="2">template&lt;int NewDim&gt; </td></tr>
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<tr class="memitem:a74dbc09519c9c14479b2d18f2e5042e8"><td class="memTemplParams" colspan="2">template&lt;int SubDim&gt; </td></tr>
<tr class="memitem:a74dbc09519c9c14479b2d18f2e5042e8"><td class="memTemplItemLeft" align="right" valign="top">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, <br class="typebreak"/>
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SubDim, InnerContig, IndexT, <br class="typebreak"/>
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<tr class="memitem:ac2d0fc7199901a8e0788b58f0970b133"><td class="memItemLeft" align="right" valign="top">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, <br class="typebreak"/>
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PtrTraits &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#ac2d0fc7199901a8e0788b58f0970b133">narrowOutermost</a> (IndexT start, IndexT size)</td></tr>
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<tr class="memitem:ab6db6bf86dd0f7e877af3a6ae2100fe3"><td class="memItemLeft" align="right" valign="top">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, <br class="typebreak"/>
Dim, InnerContig, IndexT, <br class="typebreak"/>
PtrTraits &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#ab6db6bf86dd0f7e877af3a6ae2100fe3">narrow</a> (int dim, IndexT start, IndexT size)</td></tr>
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<tr class="memitem:a665d97851f0929cad7fc76f945b64c97"><td class="memTemplParams" colspan="2">template&lt;int NewDim&gt; </td></tr>
<tr class="memitem:a665d97851f0929cad7fc76f945b64c97"><td class="memTemplItemLeft" align="right" valign="top">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, <br class="typebreak"/>
NewDim, InnerContig, IndexT, <br class="typebreak"/>
PtrTraits &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a665d97851f0929cad7fc76f945b64c97">view</a> (std::initializer_list&lt; IndexT &gt; <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#abc0ecc4f882ee09632b5a06be0619adb">sizes</a>)</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-attribs"></a>
Protected Attributes</h2></td></tr>
<tr class="memitem:a2ec506a25e46cf7001060a6ba5ae3b94"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="a2ec506a25e46cf7001060a6ba5ae3b94"></a>
DataPtrType&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94">data_</a></td></tr>
<tr class="memdesc:a2ec506a25e46cf7001060a6ba5ae3b94"><td class="mdescLeft">&#160;</td><td class="mdescRight">Raw pointer to where the tensor data begins. <br/></td></tr>
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<tr class="memitem:af4b8fe4b632cdca51ee7972ed93fc3fa"><td class="memItemLeft" align="right" valign="top"><a class="anchor" id="af4b8fe4b632cdca51ee7972ed93fc3fa"></a>
IndexT&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#af4b8fe4b632cdca51ee7972ed93fc3fa">stride_</a> [Dim]</td></tr>
<tr class="memdesc:af4b8fe4b632cdca51ee7972ed93fc3fa"><td class="mdescLeft">&#160;</td><td class="mdescRight">Array of strides (in sizeof(T) terms) per each dimension. <br/></td></tr>
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IndexT&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classfaiss_1_1gpu_1_1Tensor.html#ad96fbf0f5e7c06a1031b8b18f7fc01d7">size_</a> [Dim]</td></tr>
<tr class="memdesc:ad96fbf0f5e7c06a1031b8b18f7fc01d7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Size per each dimension. <br/></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><h3>template&lt;typename T, int Dim, bool InnerContig, typename IndexT, template&lt; typename U &gt; class PtrTraits&gt;<br/>
class faiss::gpu::Tensor&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;</h3>
<p>Our tensor type. </p>
<p>Templated multi-dimensional array that supports strided access of elements. Main access is through <code>operator[]</code>; e.g., <code>tensor[x][y][z]</code>.</p>
<ul>
<li><code>T</code> is the contained type (e.g., <code>float</code>)</li>
<li><code>Dim</code> is the tensor rank</li>
<li>If <code>InnerContig</code> is true, then the tensor is assumed to be innermost</li>
<li>contiguous, and only operations that make sense on contiguous</li>
<li>arrays are allowed (e.g., no transpose). Strides are still</li>
<li>calculated, but innermost stride is assumed to be 1.</li>
<li><code>IndexT</code> is the integer type used for size/stride arrays, and for</li>
<li>all indexing math. Default is <code>int</code>, but for large tensors, <code>long</code></li>
<li>can be used instead.</li>
<li><code>PtrTraits</code> are traits applied to our data pointer (T*). By default,</li>
<li>this is just T*, but RestrictPtrTraits can be used to apply T*</li>
<li><b>restrict</b> for alias-free analysis. </li>
</ul>
<p>Definition at line <a class="el" href="Tensor_8cuh_source.html#l00028">28</a> of file <a class="el" href="Tensor_8cuh_source.html">Tensor.cuh</a>.</p>
</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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<p>Constructor that takes arbitrary size/stride arrays. Errors if you attempt to pass non-contiguous strides to a contiguous tensor. </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00116">116</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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<h2 class="groupheader">Member Function Documentation</h2>
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<p>Returns true if we can use this indexing type to access all elements index type </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00359">359</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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<p>Cast to a tensor of a different type of the same size and stride. U and our type T must be of the same size </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00251">251</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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<p>Attempts to cast this tensor to a tensor of a different IndexT. Fails if size or stride entries are not representable in the new IndexT. </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00339">339</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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<p>Cast to a tensor of a different type which is potentially a different size than our type T. <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html" title="Our tensor type. ">Tensor</a> must be aligned and the innermost dimension must be a size that is a multiple of sizeof(U) / sizeof(T), and the stride of the innermost dimension must be contiguous. The stride of all outer dimensions must be a multiple of sizeof(U) / sizeof(T) as well. </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00273">273</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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<p>Downcast a tensor of dimension <code>D</code> to some tensor of dimension D' &lt; D by collapsing the leading dimensions. asserts if there is padding on the leading dimensions. </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00589">589</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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<p>Downcast a tensor of dimension <code>D</code> to some tensor of dimension D' &lt; D by collapsing the leading dimensions. asserts if there is padding on the leading dimensions. </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00544">544</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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<p>Returns a raw pointer to the end of our data, assuming continuity </p>
<p>Definition at line <a class="el" href="Tensor_8cuh_source.html#l00180">180</a> of file <a class="el" href="Tensor_8cuh_source.html">Tensor.cuh</a>.</p>
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<p>Returns a raw pointer to the end of our data, assuming continuity (const) </p>
<p>Definition at line <a class="el" href="Tensor_8cuh_source.html#l00192">192</a> of file <a class="el" href="Tensor_8cuh_source.html">Tensor.cuh</a>.</p>
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<p>Returns the size of a given dimension, <code>[0, Dim - 1]</code>. No bounds checking. </p>
<p>Definition at line <a class="el" href="Tensor_8cuh_source.html#l00222">222</a> of file <a class="el" href="Tensor_8cuh_source.html">Tensor.cuh</a>.</p>
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<p>If we are contiguous, returns the total size in bytes of our data </p>
<p>Definition at line <a class="el" href="Tensor_8cuh_source.html#l00238">238</a> of file <a class="el" href="Tensor_8cuh_source.html">Tensor.cuh</a>.</p>
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<p>Returns the stride of a given dimension, <code>[0, Dim - 1]</code>. No bounds checking. </p>
<p>Definition at line <a class="el" href="Tensor_8cuh_source.html#l00228">228</a> of file <a class="el" href="Tensor_8cuh_source.html">Tensor.cuh</a>.</p>
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<p>Returns whether a given dimension has only increasing stride from the previous dimension. A tensor that was permuted by exchanging size and stride only will fail this check. If <code>i == 0</code> just check <code>size &gt; 0</code>. Returns <code>false</code> if <code>stride</code> is <code>&lt;= 0</code>. </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00418">418</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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<td class="memname">__host__ __device__ bool <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;::isContiguous </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
<td> const</td>
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<p>Returns true if there is no padding within the tensor and no re-ordering of the dimensions. </p>
<div class="fragment"><div class="line">(stride(i) == size(i + 1) * stride(i + 1)) &amp;&amp; stride(dim - 1) == 0</div>
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<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00399">399</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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template&lt;typename OtherT , int OtherDim&gt; </div>
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<td class="memname">__host__ __device__ bool <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;::isSame </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; OtherT, OtherDim, InnerContig, IndexT, PtrTraits &gt; &amp;&#160;</td>
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<td> const</td>
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<p>Returns true if the two tensors are of the same dimensionality, size and stride. </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00209">209</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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template&lt;typename T , int Dim, bool InnerContig, typename IndexT, template&lt; typename U &gt; class PtrTraits&gt; </div>
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<td class="memname">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;::narrow </td>
<td>(</td>
<td class="paramtype">int&#160;</td>
<td class="paramname"><em>dim</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">IndexT&#160;</td>
<td class="paramname"><em>start</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">IndexT&#160;</td>
<td class="paramname"><em>size</em>&#160;</td>
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<p>Returns a tensor of the same dimension that is a view of the original tensor with the specified dimension restricted to the elements in the range [start, start + size). Can occur in an arbitrary dimension </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00667">667</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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<td class="memname">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;::narrowOutermost </td>
<td>(</td>
<td class="paramtype">IndexT&#160;</td>
<td class="paramname"><em>start</em>, </td>
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<td class="paramkey"></td>
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<p>Returns a tensor of the same dimension that is a view of the original tensor with the specified dimension restricted to the elements in the range [start, start + size) </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00659">659</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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<td class="memname">__host__ __device__ size_t <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;::numElements </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
<td> const</td>
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<p>Returns the total number of elements contained within our data (product of <code>getSize(i)</code>) </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00386">386</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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<td class="memname">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt; <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;::transpose </td>
<td>(</td>
<td class="paramtype">int&#160;</td>
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<td class="paramkey"></td>
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<td class="paramtype">int&#160;</td>
<td class="paramname"><em>dim2</em>&#160;</td>
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<td>)</td>
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<p>Returns a tensor of the same dimension after transposing the two dimensions given. Does not actually move elements; transposition is made by permuting the size/stride arrays. If the dimensions are not valid, asserts. </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00454">454</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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template&lt;int NewDim&gt; </div>
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<td class="memname">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, NewDim, InnerContig, IndexT, PtrTraits &gt; <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;::upcastInner </td>
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<p>Upcast a tensor of dimension <code>D</code> to some tensor of dimension D' &gt; D by padding the lowest/most varying dimensions by 1 e.g., upcasting a 2-d tensor <code>[2][3]</code> to a 4-d tensor <code>[2][3][1][1]</code> </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00517">517</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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template&lt;int NewDim&gt; </div>
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<td class="memname">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, NewDim, InnerContig, IndexT, PtrTraits &gt; <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;::upcastOuter </td>
<td>(</td>
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<p>Upcast a tensor of dimension <code>D</code> to some tensor of dimension D' &gt; D by padding the leading dimensions by 1 e.g., upcasting a 2-d tensor <code>[2][3]</code> to a 4-d tensor <code>[1][1][2][3]</code> </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00488">488</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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template&lt;typename T , int Dim, bool InnerContig, typename IndexT , template&lt; typename U &gt; class PtrTraits&gt; </div>
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template&lt;int SubDim&gt; </div>
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<td class="memname">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, SubDim, InnerContig, IndexT, PtrTraits &gt; <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;::view </td>
<td>(</td>
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<td class="paramname"><em>at</em></td><td>)</td>
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<p>Returns a tensor that is a view of the <code>SubDim</code>-dimensional slice of this tensor, starting at <code>at</code>. </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00632">632</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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template&lt;typename T , int Dim, bool InnerContig, typename IndexT , template&lt; typename U &gt; class PtrTraits&gt; </div>
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template&lt;int SubDim&gt; </div>
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<td class="memname">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, SubDim, InnerContig, IndexT, PtrTraits &gt; <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;::view </td>
<td>(</td>
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<p>Returns a tensor that is a view of the <code>SubDim</code>-dimensional slice of this tensor, starting where our data begins </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00652">652</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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template&lt;typename T , int Dim, bool InnerContig, typename IndexT, template&lt; typename U &gt; class PtrTraits&gt; </div>
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<td class="memname">__host__ __device__ <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">Tensor</a>&lt; T, NewDim, InnerContig, IndexT, PtrTraits &gt; <a class="el" href="classfaiss_1_1gpu_1_1Tensor.html">faiss::gpu::Tensor</a>&lt; T, Dim, InnerContig, IndexT, PtrTraits &gt;::view </td>
<td>(</td>
<td class="paramtype">std::initializer_list&lt; IndexT &gt;&#160;</td>
<td class="paramname"><em>sizes</em></td><td>)</td>
<td></td>
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<p>Returns a view of the given tensor expressed as a tensor of a different number of dimensions. Only works if we are contiguous. </p>
<p>Definition at line <a class="el" href="Tensor-inl_8cuh_source.html#l00698">698</a> of file <a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a>.</p>
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<hr/>The documentation for this class was generated from the following files:<ul>
<li>/data/users/hoss/faiss/gpu/utils/<a class="el" href="Tensor_8cuh_source.html">Tensor.cuh</a></li>
<li>/data/users/hoss/faiss/gpu/utils/<a class="el" href="Tensor-inl_8cuh_source.html">Tensor-inl.cuh</a></li>
</ul>
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