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2017-02-23 06:26:44 +08:00
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< li class = "navelem" > < a class = "el" href = "dir_6b3ae6988449b0834e9596fad5d75199.html" > gpu< / a > < / li > < li class = "navelem" > < a class = "el" href = "dir_498271007b03b2a0521055e88776887b.html" > utils< / a > < / li > < / ul >
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< div class = "title" > HostTensor.cuh< / div > < / div >
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< div class = "fragment" > < div class = "line" > < a name = "l00001" > < / a > < span class = "lineno" > 1< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00002" > < / a > < span class = "lineno" > 2< / span >   < span class = "comment" > /**< / span > < / div >
< div class = "line" > < a name = "l00003" > < / a > < span class = "lineno" > 3< / span >   < span class = "comment" > * Copyright (c) 2015-present, Facebook, Inc.< / span > < / div >
< div class = "line" > < a name = "l00004" > < / a > < span class = "lineno" > 4< / span >   < span class = "comment" > * All rights reserved.< / span > < / div >
< div class = "line" > < a name = "l00005" > < / a > < span class = "lineno" > 5< / span >   < span class = "comment" > *< / span > < / div >
< div class = "line" > < a name = "l00006" > < / a > < span class = "lineno" > 6< / span >   < span class = "comment" > * This source code is licensed under the CC-by-NC license found in the< / span > < / div >
< div class = "line" > < a name = "l00007" > < / a > < span class = "lineno" > 7< / span >   < span class = "comment" > * LICENSE file in the root directory of this source tree.< / span > < / div >
< div class = "line" > < a name = "l00008" > < / a > < span class = "lineno" > 8< / span >   < span class = "comment" > */< / span > < / div >
< div class = "line" > < a name = "l00009" > < / a > < span class = "lineno" > 9< / span >   < / div >
< div class = "line" > < a name = "l00010" > < / a > < span class = "lineno" > 10< / span >   < span class = "comment" > // Copyright 2004-present Facebook. All Rights Reserved.< / span > < / div >
< div class = "line" > < a name = "l00011" > < / a > < span class = "lineno" > 11< / span >   < / div >
< div class = "line" > < a name = "l00012" > < / a > < span class = "lineno" > 12< / span >   < span class = "preprocessor" > #pragma once< / span > < / div >
< div class = "line" > < a name = "l00013" > < / a > < span class = "lineno" > 13< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00014" > < / a > < span class = "lineno" > 14< / span >   < span class = "preprocessor" > #include " Tensor.cuh" < / span > < / div >
< div class = "line" > < a name = "l00015" > < / a > < span class = "lineno" > 15< / span >   < / div >
< div class = "line" > < a name = "l00016" > < / a > < span class = "lineno" > 16< / span >   < span class = "keyword" > namespace < / span > faiss { < span class = "keyword" > namespace < / span > gpu {< / 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 >   < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > T,< / div >
< div class = "line" > < a name = "l00019" > < / a > < span class = "lineno" > 19< / span >   < span class = "keywordtype" > int< / span > Dim,< / div >
< div class = "line" > < a name = "l00020" > < / a > < span class = "lineno" > 20< / span >   < span class = "keywordtype" > bool< / span > Contig = < span class = "keyword" > false< / span > ,< / div >
< div class = "line" > < a name = "l00021" > < / a > < span class = "lineno" > 21< / span >   < span class = "keyword" > typename< / span > IndexT = int,< / div >
< div class = "line" > < a name = "l00022" > < / a > < span class = "lineno" > 22< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > U> < span class = "keyword" > class < / span > PtrTraits = traits::DefaultPtrTraits> < / div >
< div class = "line" > < a name = "l00023" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1HostTensor.html" > 23< / a > < / span >   < span class = "keyword" > class < / span > < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html" > HostTensor< / a > : < span class = "keyword" > public< / span > < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< / a > < T, Dim, Contig, IndexT, PtrTraits> {< / div >
< div class = "line" > < a name = "l00024" > < / a > < span class = "lineno" > 24< / span >   < span class = "keyword" > public< / span > :< / div >
< div class = "line" > < a name = "l00025" > < / a > < span class = "lineno" > 25< / span >   < span class = "keyword" > typedef< / span > IndexT IndexType;< / div >
< div class = "line" > < a name = "l00026" > < / a > < span class = "lineno" > 26< / span >   < span class = "keyword" > typedef< / span > < span class = "keyword" > typename< / span > PtrTraits< T> ::PtrType DataPtrType;< / div >
< div class = "line" > < a name = "l00027" > < / a > < span class = "lineno" > 27< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00028" > < / a > < span class = "lineno" > 28< / span >   < span class = "comment" > /// Default constructor< / span > < / div >
< div class = "line" > < a name = "l00029" > < / a > < span class = "lineno" > 29< / span >   < span class = "comment" > < / span > __host__ < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#ae5c1a2f1eee3e72ee77d5b5bac5769e3" > HostTensor< / a > ();< / div >
< div class = "line" > < a name = "l00030" > < / a > < span class = "lineno" > 30< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00031" > < / a > < span class = "lineno" > 31< / span >   < span class = "comment" > /// Destructor< / span > < / div >
< div class = "line" > < a name = "l00032" > < / a > < span class = "lineno" > 32< / span >   < span class = "comment" > < / span > __host__ < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a5dab0d97255fed9b1da4fc7c33a89621" > ~HostTensor< / a > ();< / div >
< div class = "line" > < a name = "l00033" > < / a > < span class = "lineno" > 33< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00034" > < / a > < span class = "lineno" > 34< / span >   < span class = "comment" > /// Constructs a tensor of the given size, allocating memory for it< / span > < / div >
< div class = "line" > < a name = "l00035" > < / a > < span class = "lineno" > 35< / span >   < span class = "comment" > /// locally< / span > < / div >
< div class = "line" > < a name = "l00036" > < / a > < span class = "lineno" > 36< / span >   < span class = "comment" > < / span > __host__ < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#ae5c1a2f1eee3e72ee77d5b5bac5769e3" > HostTensor< / a > (< span class = "keyword" > const< / span > IndexT < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#ac3e0306267da475d8140bf6d12cf4af6" > sizes< / a > [Dim]);< / div >
< div class = "line" > < a name = "l00037" > < / a > < span class = "lineno" > 37< / span >   __host__ < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#ae5c1a2f1eee3e72ee77d5b5bac5769e3" > HostTensor< / a > (std::initializer_list< IndexT> < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#ac3e0306267da475d8140bf6d12cf4af6" > sizes< / a > );< / div >
< div class = "line" > < a name = "l00038" > < / a > < span class = "lineno" > 38< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00039" > < / a > < span class = "lineno" > 39< / span >   < span class = "comment" > /// Constructs a tensor of the given size and stride, referencing a< / span > < / div >
< div class = "line" > < a name = "l00040" > < / a > < span class = "lineno" > 40< / span >   < span class = "comment" > /// memory region we do not own< / span > < / div >
< div class = "line" > < a name = "l00041" > < / a > < span class = "lineno" > 41< / span >   < span class = "comment" > < / span > __host__ < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#ae5c1a2f1eee3e72ee77d5b5bac5769e3" > HostTensor< / a > (DataPtrType < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a37d3ac0dffcaad29f09d6e85fb07b335" > data< / a > ,< / div >
< div class = "line" > < a name = "l00042" > < / a > < span class = "lineno" > 42< / span >   < span class = "keyword" > const< / span > IndexT sizes[Dim]);< / div >
< div class = "line" > < a name = "l00043" > < / a > < span class = "lineno" > 43< / span >   __host__ < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#ae5c1a2f1eee3e72ee77d5b5bac5769e3" > HostTensor< / a > (DataPtrType data,< / div >
< div class = "line" > < a name = "l00044" > < / a > < span class = "lineno" > 44< / span >   std::initializer_list< IndexT> sizes);< / div >
< div class = "line" > < a name = "l00045" > < / a > < span class = "lineno" > 45< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00046" > < / a > < span class = "lineno" > 46< / span >   < span class = "comment" > /// Constructs a tensor of the given size and stride, referencing a< / span > < / div >
< div class = "line" > < a name = "l00047" > < / a > < span class = "lineno" > 47< / span >   < span class = "comment" > /// memory region we do not own< / span > < / div >
< div class = "line" > < a name = "l00048" > < / a > < span class = "lineno" > 48< / span >   < span class = "comment" > < / span > __host__ < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#ae5c1a2f1eee3e72ee77d5b5bac5769e3" > HostTensor< / a > (DataPtrType data,< / div >
< div class = "line" > < a name = "l00049" > < / a > < span class = "lineno" > 49< / span >   < span class = "keyword" > const< / span > IndexT sizes[Dim],< / div >
< div class = "line" > < a name = "l00050" > < / a > < span class = "lineno" > 50< / span >   < span class = "keyword" > const< / span > IndexT < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a9a0a293f287e9cba68f31c9e57b79c64" > strides< / a > [Dim]);< / div >
< div class = "line" > < a name = "l00051" > < / a > < span class = "lineno" > 51< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00052" > < / a > < span class = "lineno" > 52< / span >   < span class = "comment" > /// Copies a tensor into ourselves, allocating memory for it< / span > < / div >
< div class = "line" > < a name = "l00053" > < / a > < span class = "lineno" > 53< / span >   < span class = "comment" > /// locally. If the tensor is on the GPU, then we will copy it to< / span > < / div >
< div class = "line" > < a name = "l00054" > < / a > < span class = "lineno" > 54< / span >   < span class = "comment" > /// ourselves wrt the given stream.< / span > < / div >
< div class = "line" > < a name = "l00055" > < / a > < span class = "lineno" > 55< / span >   < span class = "comment" > < / span > __host__ < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#ae5c1a2f1eee3e72ee77d5b5bac5769e3" > HostTensor< / a > (< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< T, Dim, Contig, IndexT, PtrTraits> < / a > & t,< / div >
< div class = "line" > < a name = "l00056" > < / a > < span class = "lineno" > 56< / span >   cudaStream_t stream);< / div >
< div class = "line" > < a name = "l00057" > < / a > < span class = "lineno" > 57< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00058" > < / a > < span class = "lineno" > 58< / span >   < span class = "comment" > /// Call to zero out memory< / span > < / div >
< div class = "line" > < a name = "l00059" > < / a > < span class = "lineno" > 59< / span >   < span class = "comment" > < / span > __host__ < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html" > HostTensor< T, Dim, Contig, IndexT, PtrTraits> < / a > & < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a2d5c663fc9f28312a794615e38501cc0" > zero< / a > ();< / div >
< div class = "line" > < a name = "l00060" > < / a > < span class = "lineno" > 60< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00061" > < / a > < span class = "lineno" > 61< / span >   < span class = "comment" > /// Returns the maximum difference seen between two tensors< / span > < / div >
< div class = "line" > < a name = "l00062" > < / a > < span class = "lineno" > 62< / span >   < span class = "comment" > < / span > __host__ T< / div >
< div class = "line" > < a name = "l00063" > < / a > < span class = "lineno" > 63< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a61823ac9c1cfcf296357c383b50d9010" > maxDiff< / a > (< span class = "keyword" > const< / span > < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html" > HostTensor< T, Dim, Contig, IndexT, PtrTraits> < / a > & t) < span class = "keyword" > const< / span > ;< / div >
< div class = "line" > < a name = "l00064" > < / a > < span class = "lineno" > 64< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00065" > < / a > < span class = "lineno" > 65< / span >   < span class = "comment" > /// Are the two tensors exactly equal?< / span > < / div >
< div class = "line" > < a name = "l00066" > < / a > < span class = "lineno" > 66< / span >   < span class = "comment" > < / span > __host__ < span class = "keywordtype" > bool< / span > < / div >
< div class = "line" > < a name = "l00067" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1HostTensor.html#a55091065d8fd93f23d3cabbdb004b97c" > 67< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a55091065d8fd93f23d3cabbdb004b97c" > equal< / a > (< span class = "keyword" > const< / span > < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html" > HostTensor< T, Dim, Contig, IndexT, PtrTraits> < / a > & t)< span class = "keyword" > const < / span > {< / div >
< div class = "line" > < a name = "l00068" > < / a > < span class = "lineno" > 68< / span >   < span class = "keywordflow" > return< / span > (< a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html#a61823ac9c1cfcf296357c383b50d9010" > maxDiff< / a > (t) == (T) 0);< / div >
< div class = "line" > < a name = "l00069" > < / a > < span class = "lineno" > 69< / span >   }< / div >
< div class = "line" > < a name = "l00070" > < / a > < span class = "lineno" > 70< / span >   < / div >
< div class = "line" > < a name = "l00071" > < / a > < span class = "lineno" > 71< / span >   < span class = "keyword" > private< / span > :< / div >
< div class = "line" > < a name = "l00072" > < / a > < span class = "lineno" > 72< / span >   < span class = "keyword" > enum< / span > AllocState {< span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00073" > < / a > < span class = "lineno" > 73< / span >   < span class = "comment" > /// This tensor itself owns the memory, which must be freed via< / span > < / div >
< div class = "line" > < a name = "l00074" > < / a > < span class = "lineno" > 74< / span >   < span class = "comment" > /// cudaFree< / span > < / div >
< div class = "line" > < a name = "l00075" > < / a > < span class = "lineno" > 75< / span >   < span class = "comment" > < / span > Owner,< / div >
< div class = "line" > < a name = "l00076" > < / a > < span class = "lineno" > 76< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00077" > < / a > < span class = "lineno" > 77< / span >   < span class = "comment" > /// This tensor itself is not an owner of the memory; there is< / span > < / div >
< div class = "line" > < a name = "l00078" > < / a > < span class = "lineno" > 78< / span >   < span class = "comment" > /// nothing to free< / span > < / div >
< div class = "line" > < a name = "l00079" > < / a > < span class = "lineno" > 79< / span >   < span class = "comment" > < / span > NotOwner,< / div >
< div class = "line" > < a name = "l00080" > < / a > < span class = "lineno" > 80< / span >   };< / div >
< div class = "line" > < a name = "l00081" > < / a > < span class = "lineno" > 81< / span >   < / div >
< div class = "line" > < a name = "l00082" > < / a > < span class = "lineno" > 82< / span >   AllocState state_;< / 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 >   < / div >
< div class = "line" > < a name = "l00085" > < / a > < span class = "lineno" > 85< / span >   } } < span class = "comment" > // namespace< / span > < / div >
< div class = "line" > < a name = "l00086" > < / a > < span class = "lineno" > 86< / span >   < / div >
< div class = "line" > < a name = "l00087" > < / a > < span class = "lineno" > 87< / span >   < span class = "preprocessor" > #include " HostTensor-inl.cuh" < / span > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1Tensor_html_a37d3ac0dffcaad29f09d6e85fb07b335" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html#a37d3ac0dffcaad29f09d6e85fb07b335" > faiss::gpu::Tensor::data< / a > < / div > < div class = "ttdeci" > __host__ __device__ DataPtrType data()< / div > < div class = "ttdoc" > Returns a raw pointer to the start of our data. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Tensor_8cuh_source.html#l00162" > Tensor.cuh:162< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1HostTensor_html_a2d5c663fc9f28312a794615e38501cc0" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1HostTensor.html#a2d5c663fc9f28312a794615e38501cc0" > faiss::gpu::HostTensor::zero< / a > < / div > < div class = "ttdeci" > __host__ HostTensor< T, Dim, Contig, 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#l00106" > HostTensor-inl.cuh:106< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1HostTensor_html_ae5c1a2f1eee3e72ee77d5b5bac5769e3" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1HostTensor.html#ae5c1a2f1eee3e72ee77d5b5bac5769e3" > 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#l00017" > HostTensor-inl.cuh:17< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1Tensor_html_a9a0a293f287e9cba68f31c9e57b79c64" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html#a9a0a293f287e9cba68f31c9e57b79c64" > faiss::gpu::Tensor::strides< / a > < / div > < div class = "ttdeci" > __host__ __device__ const IndexT * strides() const < / div > < div class = "ttdoc" > Returns the stride array. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Tensor_8cuh_source.html#l00236" > Tensor.cuh:236< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1Tensor_html" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html" > faiss::gpu::Tensor< / a > < / div > < div class = "ttdoc" > Our tensor type. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Tensor_8cuh_source.html#l00031" > Tensor.cuh:31< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1Tensor_html_ac3e0306267da475d8140bf6d12cf4af6" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html#ac3e0306267da475d8140bf6d12cf4af6" > faiss::gpu::Tensor::sizes< / a > < / div > < div class = "ttdeci" > __host__ __device__ const IndexT * sizes() const < / div > < div class = "ttdoc" > Returns the size array. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Tensor_8cuh_source.html#l00231" > Tensor.cuh:231< / a > < / div > < / div >
< 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#l00023" > HostTensor.cuh:23< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1HostTensor_html_a5dab0d97255fed9b1da4fc7c33a89621" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1HostTensor.html#a5dab0d97255fed9b1da4fc7c33a89621" > 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#l00025" > HostTensor-inl.cuh:25< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1HostTensor_html_a55091065d8fd93f23d3cabbdb004b97c" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1HostTensor.html#a55091065d8fd93f23d3cabbdb004b97c" > faiss::gpu::HostTensor::equal< / a > < / div > < div class = "ttdeci" > __host__ bool equal(const HostTensor< T, Dim, Contig, IndexT, PtrTraits > & t) const < / div > < div class = "ttdoc" > Are the two tensors exactly equal? < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "HostTensor_8cuh_source.html#l00067" > HostTensor.cuh:67< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1HostTensor_html_a61823ac9c1cfcf296357c383b50d9010" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1HostTensor.html#a61823ac9c1cfcf296357c383b50d9010" > faiss::gpu::HostTensor::maxDiff< / a > < / div > < div class = "ttdeci" > __host__ T maxDiff(const HostTensor< T, Dim, Contig, 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#l00120" > HostTensor-inl.cuh:120< / a > < / div > < / div >
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