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2017-02-23 06:26:44 +08:00
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< div class = "line" > < a name = "l00002" > < / a > < span class = "lineno" > 2< / span >   < span class = "comment" > * Copyright (c) Facebook, Inc. and its affiliates.< / span > < / div >
< div class = "line" > < a name = "l00003" > < / a > < span class = "lineno" > 3< / span >   < span class = "comment" > *< / span > < / div >
< div class = "line" > < a name = "l00004" > < / a > < span class = "lineno" > 4< / span >   < 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 >   < 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 >   < span class = "comment" > */< / span > < / div >
< div class = "line" > < a name = "l00007" > < / a > < span class = "lineno" > 7< / span >   < / div >
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< div class = "line" > < a name = "l00009" > < / a > < span class = "lineno" > 9< / span >   < span class = "keyword" > namespace < / span > faiss { < span class = "keyword" > namespace < / span > gpu {< / div >
< div class = "line" > < a name = "l00010" > < / a > < span class = "lineno" > 10< / span >   < / div >
< div class = "line" > < a name = "l00011" > < / a > < span class = "lineno" > 11< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > T, < span class = "keywordtype" > int< / span > Dim, < span class = "keywordtype" > bool< / span > InnerContig,< / div >
< div class = "line" > < a name = "l00012" > < / a > < span class = "lineno" > 12< / span >   < span class = "keyword" > typename< / span > IndexT, < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > U> < span class = "keyword" > class < / span > PtrTraits> < / div >
< div class = "line" > < a name = "l00013" > < / a > < span class = "lineno" > 13< / span >   __host__< / div >
< div class = "line" > < a name = "l00014" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1HostTensor.html#a8e7c2b93a26a168a7adcb1c49492e165" > 14< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a8e7c2b93a26a168a7adcb1c49492e165" > HostTensor< T, Dim, InnerContig, IndexT, PtrTraits> ::HostTensor< / a > () :< / div >
< div class = "line" > < a name = "l00015" > < / a > < span class = "lineno" > 15< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< / a > < T, Dim, InnerContig, IndexT, PtrTraits> (),< / div >
< div class = "line" > < a name = "l00016" > < / a > < span class = "lineno" > 16< / span >   state_(AllocState::NotOwner) {< / div >
< div class = "line" > < a name = "l00017" > < / a > < span class = "lineno" > 17< / span >   }< / div >
< div class = "line" > < a name = "l00018" > < / a > < span class = "lineno" > 18< / span >   < / div >
< div class = "line" > < a name = "l00019" > < / a > < span class = "lineno" > 19< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > T, < span class = "keywordtype" > int< / span > Dim, < span class = "keywordtype" > bool< / span > InnerContig,< / div >
< div class = "line" > < a name = "l00020" > < / a > < span class = "lineno" > 20< / span >   < span class = "keyword" > typename< / span > IndexT, < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > U> < span class = "keyword" > class < / span > PtrTraits> < / div >
< div class = "line" > < a name = "l00021" > < / a > < span class = "lineno" > 21< / span >   __host__< / div >
< div class = "line" > < a name = "l00022" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1HostTensor.html#ab24605e0ecd9ef9892ac33ce7d763cef" > 22< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#ab24605e0ecd9ef9892ac33ce7d763cef" > HostTensor< T, Dim, InnerContig, IndexT, PtrTraits> ::~HostTensor< / a > () {< / div >
< div class = "line" > < a name = "l00023" > < / a > < span class = "lineno" > 23< / span >   < span class = "keywordflow" > if< / span > (state_ == AllocState::Owner) {< / div >
< div class = "line" > < a name = "l00024" > < / a > < span class = "lineno" > 24< / span >   FAISS_ASSERT(this-> data_ != < span class = "keyword" > nullptr< / span > );< / div >
< div class = "line" > < a name = "l00025" > < / a > < span class = "lineno" > 25< / span >   < span class = "keyword" > delete< / span > [] this-> data_;< / div >
< div class = "line" > < a name = "l00026" > < / a > < span class = "lineno" > 26< / span >   this-> data_ = < span class = "keyword" > nullptr< / span > ;< / div >
< div class = "line" > < a name = "l00027" > < / a > < span class = "lineno" > 27< / span >   }< / div >
< div class = "line" > < a name = "l00028" > < / a > < span class = "lineno" > 28< / span >   }< / div >
< div class = "line" > < a name = "l00029" > < / a > < span class = "lineno" > 29< / span >   < / div >
< div class = "line" > < a name = "l00030" > < / a > < span class = "lineno" > 30< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > T, < span class = "keywordtype" > int< / span > Dim, < span class = "keywordtype" > bool< / span > InnerContig,< / div >
< div class = "line" > < a name = "l00031" > < / a > < span class = "lineno" > 31< / span >   < span class = "keyword" > typename< / span > IndexT, < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > U> < span class = "keyword" > class < / span > PtrTraits> < / div >
< div class = "line" > < a name = "l00032" > < / a > < span class = "lineno" > 32< / span >   __host__< / div >
< div class = "line" > < a name = "l00033" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1HostTensor.html#a6aa9dc08df68655ff666a8b24aa0c2f4" > 33< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a8e7c2b93a26a168a7adcb1c49492e165" > HostTensor< T, Dim, InnerContig, IndexT, PtrTraits> ::HostTensor< / a > (< / div >
< div class = "line" > < a name = "l00034" > < / a > < span class = "lineno" > 34< / span >   < span class = "keyword" > const< / span > IndexT sizes[Dim]) :< / div >
< div class = "line" > < a name = "l00035" > < / a > < span class = "lineno" > 35< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< / a > < T, Dim, InnerContig, IndexT, PtrTraits> (nullptr, sizes),< / div >
< div class = "line" > < a name = "l00036" > < / a > < span class = "lineno" > 36< / span >   state_(AllocState::Owner) {< / div >
< div class = "line" > < a name = "l00037" > < / a > < span class = "lineno" > 37< / span >   < / div >
< div class = "line" > < a name = "l00038" > < / a > < span class = "lineno" > 38< / span >   this-> < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94" > data_< / a > = < span class = "keyword" > new< / span > T[this-> < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a0ba9ab7c1676b7a41a6e6b2e5a490d2f" > numElements< / a > ()];< / div >
< div class = "line" > < a name = "l00039" > < / a > < span class = "lineno" > 39< / span >   FAISS_ASSERT(this-> < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94" > data_< / a > != < span class = "keyword" > nullptr< / span > );< / div >
< div class = "line" > < a name = "l00040" > < / a > < span class = "lineno" > 40< / span >   }< / div >
< div class = "line" > < a name = "l00041" > < / a > < span class = "lineno" > 41< / span >   < / div >
< div class = "line" > < a name = "l00042" > < / a > < span class = "lineno" > 42< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > T, < span class = "keywordtype" > int< / span > Dim, < span class = "keywordtype" > bool< / span > InnerContig,< / div >
< div class = "line" > < a name = "l00043" > < / a > < span class = "lineno" > 43< / span >   < span class = "keyword" > typename< / span > IndexT, < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > U> < span class = "keyword" > class < / span > PtrTraits> < / div >
< div class = "line" > < a name = "l00044" > < / a > < span class = "lineno" > 44< / span >   __host__< / div >
< div class = "line" > < a name = "l00045" > < /a>< span class = "lineno" > 45< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a8e7c2b93a26a168a7adcb1c49492e165" > HostTensor< T, Dim, InnerContig, IndexT, PtrTraits> ::HostTensor< / a > (< / div >
< div class = "line" > < a name = "l00046" > < / a > < span class = "lineno" > 46< / span >   std::initializer_list< IndexT> sizes) :< / div >
< div class = "line" > < a name = "l00047" > < / a > < span class = "lineno" > 47< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< / a > < T, Dim, InnerContig, IndexT, PtrTraits> (nullptr, sizes),< / div >
< div class = "line" > < a name = "l00048" > < / a > < span class = "lineno" > 48< / span >   state_(AllocState::Owner) {< / div >
< div class = "line" > < a name = "l00049" > < / a > < span class = "lineno" > 49< / span >   this-> < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94" > data_< / a > = < span class = "keyword" > new< / span > T[this-> < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a0ba9ab7c1676b7a41a6e6b2e5a490d2f" > numElements< / a > ()];< / div >
< div class = "line" > < a name = "l00050" > < / a > < span class = "lineno" > 50< / span >   FAISS_ASSERT(this-> < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94" > data_< / a > != < span class = "keyword" > nullptr< / span > );< / div >
< div class = "line" > < a name = "l00051" > < / a > < span class = "lineno" > 51< / span >   }< / div >
< div class = "line" > < a name = "l00052" > < / a > < span class = "lineno" > 52< / span >   < / div >
< div class = "line" > < a name = "l00053" > < / a > < span class = "lineno" > 53< / span >   < span class = "keyword" > template< / span > < < 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 >   < span class = "keyword" > typename< / span > IndexT, < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > U> < span class = "keyword" > class < / span > PtrTraits> < / div >
< div class = "line" > < a name = "l00055" > < / a > < span class = "lineno" > 55< / span >   __host__< / div >
< div class = "line" > < a name = "l00056" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1HostTensor.html#a2b703685aea24d432f4d7ccf535e3ca6" > 56< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a8e7c2b93a26a168a7adcb1c49492e165" > HostTensor< T, Dim, InnerContig, IndexT, PtrTraits> ::HostTensor< / a > (< / div >
< div class = "line" > < a name = "l00057" > < / a > < span class = "lineno" > 57< / span >   DataPtrType data,< / div >
< div class = "line" > < a name = "l00058" > < / a > < span class = "lineno" > 58< / span >   < span class = "keyword" > const< / span > IndexT sizes[Dim]) :< / div >
< div class = "line" > < a name = "l00059" > < / a > < span class = "lineno" > 59< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< / a > < T, Dim, InnerContig, IndexT, PtrTraits> (data, sizes),< / div >
< div class = "line" > < a name = "l00060" > < / a > < span class = "lineno" > 60< / span >   state_(AllocState::NotOwner) {< / div >
< div class = "line" > < a name = "l00061" > < / a > < span class = "lineno" > 61< / span >   }< / div >
< div class = "line" > < a name = "l00062" > < / a > < span class = "lineno" > 62< / span >   < / div >
< div class = "line" > < a name = "l00063" > < / a > < span class = "lineno" > 63< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > T, < span class = "keywordtype" > int< / span > Dim, < span class = "keywordtype" > bool< / span > InnerContig,< / div >
< div class = "line" > < a name = "l00064" > < / a > < span class = "lineno" > 64< / span >   < span class = "keyword" > typename< / span > IndexT, < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > U> < span class = "keyword" > class < / span > PtrTraits> < / div >
< div class = "line" > < a name = "l00065" > < / a > < span class = "lineno" > 65< / span >   __host__< / div >
< div class = "line" > < a name = "l00066" > < / a > < span class = "lineno" > 66< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a8e7c2b93a26a168a7adcb1c49492e165" > HostTensor< T, Dim, InnerContig, IndexT, PtrTraits> ::HostTensor< / a > (< / div >
< div class = "line" > < a name = "l00067" > < / a > < span class = "lineno" > 67< / span >   DataPtrType data,< / div >
< div class = "line" > < a name = "l00068" > < / a > < span class = "lineno" > 68< / span >   std::initializer_list< IndexT> sizes) :< / div >
< div class = "line" > < a name = "l00069" > < / a > < span class = "lineno" > 69< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< / a > < T, Dim, InnerContig, IndexT, PtrTraits> (data, sizes),< / div >
< div class = "line" > < a name = "l00070" > < / a > < span class = "lineno" > 70< / span >   state_(AllocState::NotOwner) {< / div >
< div class = "line" > < a name = "l00071" > < / a > < span class = "lineno" > 71< / span >   }< / div >
< div class = "line" > < a name = "l00072" > < / a > < span class = "lineno" > 72< / span >   < / div >
< div class = "line" > < a name = "l00073" > < / a > < span class = "lineno" > 73< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > T, < span class = "keywordtype" > int< / span > Dim, < span class = "keywordtype" > bool< / span > InnerContig,< / div >
< div class = "line" > < a name = "l00074" > < / a > < span class = "lineno" > 74< / span >   < span class = "keyword" > typename< / span > IndexT, < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > U> < span class = "keyword" > class < / span > PtrTraits> < / div >
< div class = "line" > < a name = "l00075" > < / a > < span class = "lineno" > 75< / span >   __host__< / div >
< div class = "line" > < a name = "l00076" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1HostTensor.html#a05a4f8a8b45c865f1bcf40ff7e3c95a1" > 76< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a8e7c2b93a26a168a7adcb1c49492e165" > HostTensor< T, Dim, InnerContig, IndexT, PtrTraits> ::HostTensor< / a > (< / div >
< div class = "line" > < a name = "l00077" > < / a > < span class = "lineno" > 77< / span >   DataPtrType data,< / div >
< div class = "line" > < a name = "l00078" > < / a > < span class = "lineno" > 78< / span >   < span class = "keyword" > const< / span > IndexT sizes[Dim],< / div >
< div class = "line" > < a name = "l00079" > < / a > < span class = "lineno" > 79< / span >   < span class = "keyword" > const< / span > IndexT strides[Dim]) :< / div >
< div class = "line" > < a name = "l00080" > < / a > < span class = "lineno" > 80< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< / a > < T, Dim, InnerContig, IndexT, PtrTraits> (data, sizes, strides),< / div >
< div class = "line" > < a name = "l00081" > < / a > < span class = "lineno" > 81< / span >   state_(AllocState::NotOwner) {< / div >
< div class = "line" > < a name = "l00082" > < / a > < span class = "lineno" > 82< / span >   }< / div >
< div class = "line" > < a name = "l00083" > < / a > < span class = "lineno" > 83< / span >   < / div >
< div class = "line" > < a name = "l00084" > < / a > < span class = "lineno" > 84< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > T, < span class = "keywordtype" > int< / span > Dim, < span class = "keywordtype" > bool< / span > InnerContig,< / div >
< div class = "line" > < a name = "l00085" > < / a > < span class = "lineno" > 85< / span >   < span class = "keyword" > typename< / span > IndexT, < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > U> < span class = "keyword" > class < / span > PtrTraits> < / div >
< div class = "line" > < a name = "l00086" > < / a > < span class = "lineno" > 86< / span >   __host__< / div >
< div class = "line" > < a name = "l00087" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1HostTensor.html#a5a55bceb878e941192f8fc7bf400208a" > 87< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a8e7c2b93a26a168a7adcb1c49492e165" > HostTensor< T, Dim, InnerContig, IndexT, PtrTraits> ::HostTensor< / a > (< / div >
< div class = "line" > < a name = "l00088" > < / a > < span class = "lineno" > 88< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< T, Dim, InnerContig, IndexT, PtrTraits> < / a > & t,< / div >
< div class = "line" > < a name = "l00089" > < / a > < span class = "lineno" > 89< / span >   cudaStream_t stream) :< / div >
< div class = "line" > < a name = "l00090" > < / a > < span class = "lineno" > 90< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< / a > < T, Dim, InnerContig, IndexT, PtrTraits> (nullptr, t.sizes(), t.strides()),< / div >
< div class = "line" > < a name = "l00091" > < / a > < span class = "lineno" > 91< / span >   state_(AllocState::Owner) {< / div >
< div class = "line" > < a name = "l00092" > < / a > < span class = "lineno" > 92< / span >   < span class = "comment" > // Only contiguous arrays handled for now< / span > < / div >
< div class = "line" > < a name = "l00093" > < / a > < span class = "lineno" > 93< / span >   FAISS_ASSERT(t.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a09019c54911db891c9321fd3b34509c2" > isContiguous< / a > ());< / div >
< div class = "line" > < a name = "l00094" > < / a > < span class = "lineno" > 94< / span >   < / div >
< div class = "line" > < a name = "l00095" > < / a > < span class = "lineno" > 95< / span >   this-> < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2ec506a25e46cf7001060a6ba5ae3b94" > data_< / a > = < span class = "keyword" > new< / span > T[t.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a0ba9ab7c1676b7a41a6e6b2e5a490d2f" > numElements< / a > ()];< / div >
< div class = "line" > < a name = "l00096" > < / a > < span class = "lineno" > 96< / span >   this-> < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a6dc00c182a92389b74c89ba7fcab40d3" > copyFrom< / a > (t, stream);< / div >
< div class = "line" > < a name = "l00097" > < / a > < span class = "lineno" > 97< / span >   }< / div >
< div class = "line" > < a name = "l00098" > < / a > < span class = "lineno" > 98< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00099" > < / a > < span class = "lineno" > 99< / span >   < span class = "comment" > /// Call to zero out memory< / span > < / div >
< div class = "line" > < a name = "l00100" > < / a > < span class = "lineno" > 100< / span >   < span class = "comment" > < / span > < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > T, < span class = "keywordtype" > int< / span > Dim, < span class = "keywordtype" > bool< / span > InnerContig,< / div >
< div class = "line" > < a name = "l00101" > < / a > < span class = "lineno" > 101< / span >   < span class = "keyword" > typename< / span > IndexT, < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > U> < span class = "keyword" > class < / span > PtrTraits> < / div >
< div class = "line" > < a name = "l00102" > < / a > < span class = "lineno" > 102< / span >   __host__ < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html" > HostTensor< T, Dim, InnerContig, IndexT, PtrTraits> < / a > & < / div >
< div class = "line" > < a name = "l00103" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1HostTensor.html#afb34d344157ea0905d2d76d4081da052" > 103< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#afb34d344157ea0905d2d76d4081da052" > HostTensor< T, Dim, InnerContig, IndexT, PtrTraits> ::zero< / a > () {< / div >
< div class = "line" > < a name = "l00104" > < / a > < span class = "lineno" > 104< / span >   < span class = "comment" > // Region must be contiguous< / span > < / div >
< div class = "line" > < a name = "l00105" > < / a > < span class = "lineno" > 105< / span >   FAISS_ASSERT(this-> isContiguous());< / div >
< div class = "line" > < a name = "l00106" > < / a > < span class = "lineno" > 106< / span >   < / div >
< div class = "line" > < a name = "l00107" > < / a > < span class = "lineno" > 107< / span >   < span class = "keywordflow" > if< / span > (this-> data_ != < span class = "keyword" > nullptr< / span > ) {< / div >
< div class = "line" > < a name = "l00108" > < / a > < span class = "lineno" > 108< / span >   memset(this-> data_, 0, this-> getSizeInBytes());< / div >
< div class = "line" > < a name = "l00109" > < / a > < span class = "lineno" > 109< / span >   }< / div >
< div class = "line" > < a name = "l00110" > < / a > < span class = "lineno" > 110< / span >   < / div >
< div class = "line" > < a name = "l00111" > < / a > < span class = "lineno" > 111< / span >   < span class = "keywordflow" > return< / span > *< span class = "keyword" > this< / span > ;< / div >
< div class = "line" > < a name = "l00112" > < / a > < span class = "lineno" > 112< / span >   }< / div >
< div class = "line" > < a name = "l00113" > < / a > < span class = "lineno" > 113< / span >   < / div >
< div class = "line" > < a name = "l00114" > < / a > < span class = "lineno" > 114< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > T, < span class = "keywordtype" > int< / span > Dim, < span class = "keywordtype" > bool< / span > InnerContig,< / div >
< div class = "line" > < a name = "l00115" > < / a > < span class = "lineno" > 115< / span >   < span class = "keyword" > typename< / span > IndexT, < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > U> < span class = "keyword" > class < / span > PtrTraits> < / div >
< div class = "line" > < a name = "l00116" > < / a > < span class = "lineno" > 116< / span >   __host__ T< / div >
< div class = "line" > < a name = "l00117" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1HostTensor.html#a4f8c1a0467513d62277b693dd65238c5" > 117< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a4f8c1a0467513d62277b693dd65238c5" > HostTensor< T, Dim, InnerContig, IndexT, PtrTraits> ::maxDiff< / a > (< / div >
< div class = "line" > < a name = "l00118" > < / a > < span class = "lineno" > 118< / span >   < span class = "keyword" > const< / span > < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html" > HostTensor< T, Dim, InnerContig, IndexT, PtrTraits> < / a > & t)< span class = "keyword" > const < / span > {< / div >
< div class = "line" > < a name = "l00119" > < / a > < span class = "lineno" > 119< / span >   < span class = "keyword" > auto< / span > size = this-> numElements();< / div >
< div class = "line" > < a name = "l00120" > < / a > < span class = "lineno" > 120< / span >   < / div >
< div class = "line" > < a name = "l00121" > < / a > < span class = "lineno" > 121< / span >   FAISS_ASSERT(size == t.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a0ba9ab7c1676b7a41a6e6b2e5a490d2f" > numElements< / a > ());< / div >
< div class = "line" > < a name = "l00122" > < / a > < span class = "lineno" > 122< / span >   FAISS_ASSERT(size > 0);< / div >
< div class = "line" > < a name = "l00123" > < / a > < span class = "lineno" > 123< / span >   < / div >
< div class = "line" > < a name = "l00124" > < / a > < span class = "lineno" > 124< / span >   < span class = "keywordflow" > if< / span > (InnerContig) {< / div >
< div class = "line" > < a name = "l00125" > < / a > < span class = "lineno" > 125< / span >   < span class = "keyword" > auto< / span > a = this-> data();< / div >
< div class = "line" > < a name = "l00126" > < / a > < span class = "lineno" > 126< / span >   < span class = "keyword" > auto< / span > b = t.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a50411ce4d0fa32ef715e3321b6e33212" > data< / a > ();< / div >
< div class = "line" > < a name = "l00127" > < / a > < span class = "lineno" > 127< / span >   < / div >
< div class = "line" > < a name = "l00128" > < / a > < span class = "lineno" > 128< / span >   T maxDiff = a[0] - b[0];< / div >
< div class = "line" > < a name = "l00129" > < / a > < span class = "lineno" > 129< / span >   < span class = "comment" > // FIXME: type-specific abs()< / span > < / div >
< div class = "line" > < a name = "l00130" > < / a > < span class = "lineno" > 130< / span >   maxDiff = maxDiff < 0 ? maxDiff * (T) -1 : maxDiff;< / div >
< div class = "line" > < a name = "l00131" > < / a > < span class = "lineno" > 131< / span >   < / div >
< div class = "line" > < a name = "l00132" > < / a > < span class = "lineno" > 132< / span >   < span class = "keywordflow" > for< / span > (IndexT i = 1; i < size; ++i) {< / div >
< div class = "line" > < a name = "l00133" > < / a > < span class = "lineno" > 133< / span >   < span class = "keyword" > auto< / span > diff = a[i] - b[i];< / div >
< div class = "line" > < a name = "l00134" > < / a > < span class = "lineno" > 134< / span >   < span class = "comment" > // FIXME: type-specific abs< / span > < / div >
< div class = "line" > < a name = "l00135" > < / a > < span class = "lineno" > 135< / span >   diff = diff < 0 ? diff * (T) -1 : diff;< / div >
< div class = "line" > < a name = "l00136" > < / a > < span class = "lineno" > 136< / span >   < span class = "keywordflow" > if< / span > (diff > maxDiff) {< / div >
< div class = "line" > < a name = "l00137" > < / a > < span class = "lineno" > 137< / span >   maxDiff = diff;< / div >
< div class = "line" > < a name = "l00138" > < / a > < span class = "lineno" > 138< / span >   }< / div >
< div class = "line" > < a name = "l00139" > < / a > < span class = "lineno" > 139< / span >   }< / div >
< div class = "line" > < a name = "l00140" > < / a > < span class = "lineno" > 140< / span >   < / div >
< div class = "line" > < a name = "l00141" > < / a > < span class = "lineno" > 141< / span >   < span class = "keywordflow" > return< / span > maxDiff;< / div >
< div class = "line" > < a name = "l00142" > < / a > < span class = "lineno" > 142< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00143" > < / a > < span class = "lineno" > 143< / span >   < span class = "comment" > // non-contiguous< / span > < / div >
< div class = "line" > < a name = "l00144" > < / a > < span class = "lineno" > 144< / span >   < span class = "comment" > // FIXME< / span > < / div >
< div class = "line" > < a name = "l00145" > < / a > < span class = "lineno" > 145< / span >   FAISS_ASSERT(< span class = "keyword" > false< / span > );< / div >
< div class = "line" > < a name = "l00146" > < / a > < span class = "lineno" > 146< / span >   < span class = "keywordflow" > return< / span > (T) 0;< / div >
< div class = "line" > < a name = "l00147" > < / a > < span class = "lineno" > 147< / span >   }< / div >
< div class = "line" > < a name = "l00148" > < / a > < span class = "lineno" > 148< / span >   }< / div >
< div class = "line" > < a name = "l00149" > < / a > < span class = "lineno" > 149< / span >   < / div >
< div class = "line" > < a name = "l00150" > < / a > < span class = "lineno" > 150< / span >   } } < span class = "comment" > // namespace< / span > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1Tensor_html_a0ba9ab7c1676b7a41a6e6b2e5a490d2f" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html#a0ba9ab7c1676b7a41a6e6b2e5a490d2f" > faiss::gpu::Tensor::numElements< / a > < / div > < div class = "ttdeci" > __host__ __device__ size_t numElements() const < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Tensor-inl_8cuh_source.html#l00386" > Tensor-inl.cuh:386< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1HostTensor_html_ab24605e0ecd9ef9892ac33ce7d763cef" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1HostTensor.html#ab24605e0ecd9ef9892ac33ce7d763cef" > faiss::gpu::HostTensor::~HostTensor< / a > < / div > < div class = "ttdeci" > __host__ ~HostTensor()< / div > < div class = "ttdoc" > Destructor. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "HostTensor-inl_8cuh_source.html#l00022" > HostTensor-inl.cuh:22< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1HostTensor_html_afb34d344157ea0905d2d76d4081da052" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1HostTensor.html#afb34d344157ea0905d2d76d4081da052" > faiss::gpu::HostTensor::zero< / a > < / div > < div class = "ttdeci" > __host__ HostTensor< T, Dim, InnerContig, IndexT, PtrTraits > & zero()< / div > < div class = "ttdoc" > Call to zero out memory. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "HostTensor-inl_8cuh_source.html#l00103" > HostTensor-inl.cuh:103< / 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_1Tensor_html_a09019c54911db891c9321fd3b34509c2" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html#a09019c54911db891c9321fd3b34509c2" > faiss::gpu::Tensor::isContiguous< / a > < / div > < div class = "ttdeci" > __host__ __device__ bool isContiguous() const < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Tensor-inl_8cuh_source.html#l00399" > Tensor-inl.cuh:399< / a > < / 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< T, Dim, InnerContig, IndexT, PtrTraits > & 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_1HostTensor_html_a8e7c2b93a26a168a7adcb1c49492e165" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1HostTensor.html#a8e7c2b93a26a168a7adcb1c49492e165" > faiss::gpu::HostTensor::HostTensor< / a > < / div > < div class = "ttdeci" > __host__ HostTensor()< / div > < div class = "ttdoc" > Default constructor. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "HostTensor-inl_8cuh_source.html#l00014" > HostTensor-inl.cuh:14< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1Tensor_html_a50411ce4d0fa32ef715e3321b6e33212" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html#a50411ce4d0fa32ef715e3321b6e33212" > faiss::gpu::Tensor::data< / a > < / div > < div class = "ttdeci" > __host__ __device__ DataPtrType data()< / div > < div class = "ttdoc" > Returns a raw pointer to the start of our data. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Tensor_8cuh_source.html#l00174" > Tensor.cuh:174< / 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_1HostTensor_html" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1HostTensor.html" > faiss::gpu::HostTensor< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "HostTensor_8cuh_source.html#l00020" > HostTensor.cuh:20< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1HostTensor_html_a4f8c1a0467513d62277b693dd65238c5" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1HostTensor.html#a4f8c1a0467513d62277b693dd65238c5" > faiss::gpu::HostTensor::maxDiff< / a > < / div > < div class = "ttdeci" > __host__ T maxDiff(const HostTensor< T, Dim, InnerContig, IndexT, PtrTraits > & t) const < / div > < div class = "ttdoc" > Returns the maximum difference seen between two tensors. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "HostTensor-inl_8cuh_source.html#l00117" > HostTensor-inl.cuh:117< / a > < / div > < / div >
2017-02-23 06:26:44 +08:00
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