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2018-12-20 00:48:35 +08:00
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< li class = "navelem" > < a class = "el" href = "dir_5956a3e80a20e8e03eb577bedb92689f.html" > gpu< / a > < / li > < li class = "navelem" > < a class = "el" href = "dir_2be73404b46ec2282840cd36fdb9a907.html" > impl< / a > < / li > < / ul >
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< div class = "title" > BinaryFlatIndex.cu< / div > < / div >
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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 = "l00008" > < / a > < span class = "lineno" > 8< / span >   < / div >
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< div class = "line" > < a name = "l00009" > < / a > < span class = "lineno" > 9< / span >   < span class = "preprocessor" > #include " BinaryFlatIndex.cuh" < / span > < / div >
< div class = "line" > < a name = "l00010" > < / a > < span class = "lineno" > 10< / span >   < span class = "preprocessor" > #include " BinaryDistance.cuh" < / span > < / div >
< div class = "line" > < a name = "l00011" > < / a > < span class = "lineno" > 11< / span >   < span class = "preprocessor" > #include " ../utils/DeviceUtils.h" < / span > < / div >
< div class = "line" > < a name = "l00012" > < / a > < span class = "lineno" > 12< / span >   < span class = "preprocessor" > #include " ../GpuResources.h" < / span > < / div >
< div class = "line" > < a name = "l00013" > < / a > < span class = "lineno" > 13< / span >   < / div >
< div class = "line" > < a name = "l00014" > < / a > < span class = "lineno" > 14< / span >   < span class = "keyword" > namespace < / span > faiss { < span class = "keyword" > namespace < / span > gpu {< / div >
< div class = "line" > < a name = "l00015" > < / a > < span class = "lineno" > 15< / span >   < / div >
< div class = "line" > < a name = "l00016" > < / a > < span class = "lineno" > 16< / span >   BinaryFlatIndex::BinaryFlatIndex(GpuResources* res,< / div >
< div class = "line" > < a name = "l00017" > < / a > < span class = "lineno" > 17< / span >   < span class = "keywordtype" > int< / span > dim,< / div >
< div class = "line" > < a name = "l00018" > < / a > < span class = "lineno" > 18< / span >   MemorySpace space) :< / div >
< div class = "line" > < a name = "l00019" > < / a > < span class = "lineno" > 19< / span >   resources_(res),< / div >
< div class = "line" > < a name = "l00020" > < / a > < span class = "lineno" > 20< / span >   dim_(dim),< / div >
< div class = "line" > < a name = "l00021" > < / a > < span class = "lineno" > 21< / span >   space_(space),< / div >
< div class = "line" > < a name = "l00022" > < / a > < span class = "lineno" > 22< / span >   num_(0),< / div >
< div class = "line" > < a name = "l00023" > < / a > < span class = "lineno" > 23< / span >   rawData_(space) {< / div >
< div class = "line" > < a name = "l00024" > < / a > < span class = "lineno" > 24< / span >   FAISS_ASSERT(dim % 8 == 0);< / div >
< div class = "line" > < a name = "l00025" > < / a > < span class = "lineno" > 25< / span >   }< / div >
< div class = "line" > < a name = "l00026" > < / a > < span class = "lineno" > 26< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00027" > < / a > < span class = "lineno" > 27< / span >   < span class = "comment" > /// Returns the number of vectors we contain< / span > < / div >
< div class = "line" > < a name = "l00028" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#aa3440ccb9bc693cbc89386b8cc981565" > 28< / a > < / span >   < span class = "comment" > < / span > < span class = "keywordtype" > int< / span > < a class = "code" href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#aa3440ccb9bc693cbc89386b8cc981565" > BinaryFlatIndex::getSize< / a > ()< span class = "keyword" > const < / span > {< / div >
< div class = "line" > < a name = "l00029" > < / a > < span class = "lineno" > 29< / span >   < span class = "keywordflow" > return< / span > vectors_.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a6699c311648457f257afa340c61f417c" > getSize< / a > (0);< / div >
< div class = "line" > < a name = "l00030" > < / a > < span class = "lineno" > 30< / span >   }< / div >
< div class = "line" > < a name = "l00031" > < / a > < span class = "lineno" > 31< / span >   < / div >
< div class = "line" > < a name = "l00032" > < / a > < span class = "lineno" > 32< / span >   < span class = "keywordtype" > int< / span > BinaryFlatIndex::getDim()< span class = "keyword" > const < / span > {< / div >
< div class = "line" > < a name = "l00033" > < / a > < span class = "lineno" > 33< / span >   < span class = "keywordflow" > return< / span > vectors_.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a6699c311648457f257afa340c61f417c" > getSize< / a > (1) * 8;< / div >
< div class = "line" > < a name = "l00034" > < / a > < span class = "lineno" > 34< / span >   }< / div >
< div class = "line" > < a name = "l00035" > < / a > < span class = "lineno" > 35< / span >   < / div >
< div class = "line" > < a name = "l00036" > < / a > < span class = "lineno" > 36< / span >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00037" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#a897e1b584bda7a949e5e8644d0bc972b" > 37< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#a897e1b584bda7a949e5e8644d0bc972b" > BinaryFlatIndex::reserve< / a > (< span class = "keywordtype" > size_t< / span > numVecs, cudaStream_t stream) {< / div >
< div class = "line" > < a name = "l00038" > < / a > < span class = "lineno" > 38< / span >   rawData_.reserve(numVecs * (dim_ / 8) * < span class = "keyword" > sizeof< / span > (< span class = "keywordtype" > unsigned< / span > < span class = "keywordtype" > int< / span > ), stream);< / div >
< div class = "line" > < a name = "l00039" > < / a > < span class = "lineno" > 39< / 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 >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< unsigned char, 2, true> < / a > & < / div >
< div class = "line" > < a name = "l00042" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#a0cc143e913b7a06e3ed31e5a6b546a6b" > 42< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#a0cc143e913b7a06e3ed31e5a6b546a6b" > BinaryFlatIndex::getVectorsRef< / a > () {< / div >
< div class = "line" > < a name = "l00043" > < / a > < span class = "lineno" > 43< / span >   < span class = "keywordflow" > return< / span > vectors_;< / div >
< div class = "line" > < a name = "l00044" > < / a > < span class = "lineno" > 44< / span >   }< / div >
< div class = "line" > < a name = "l00045" > < / a > < span class = "lineno" > 45< / span >   < / div >
< div class = "line" > < a name = "l00046" > < / a > < span class = "lineno" > 46< / span >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00047" > < / a > < span class = "lineno" > 47< / span >   BinaryFlatIndex::query(< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< unsigned char, 2, true> < / a > & input,< / div >
< div class = "line" > < a name = "l00048" > < / a > < span class = "lineno" > 48< / span >   < span class = "keywordtype" > int< / span > k,< / div >
< div class = "line" > < a name = "l00049" > < / a > < span class = "lineno" > 49< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< int, 2, true> < / a > & outDistances,< / div >
< div class = "line" > < a name = "l00050" > < / a > < span class = "lineno" > 50< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< int, 2, true> < / a > & outIndices) {< / div >
< div class = "line" > < a name = "l00051" > < / a > < span class = "lineno" > 51< / span >   < span class = "keyword" > auto< / span > stream = resources_-> < a class = "code" href = "classfaiss_1_1gpu_1_1GpuResources.html#aa0354aa570c24e17a9f8a6a45b153ed2" > getDefaultStreamCurrentDevice< / a > ();< / 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 >   runBinaryDistance(vectors_,< / div >
< div class = "line" > < a name = "l00054" > < / a > < span class = "lineno" > 54< / span >   input,< / div >
< div class = "line" > < a name = "l00055" > < / a > < span class = "lineno" > 55< / span >   outDistances,< / div >
< div class = "line" > < a name = "l00056" > < / a > < span class = "lineno" > 56< / span >   outIndices,< / div >
< div class = "line" > < a name = "l00057" > < / a > < span class = "lineno" > 57< / span >   k,< / div >
< div class = "line" > < a name = "l00058" > < / a > < span class = "lineno" > 58< / span >   stream);< / div >
< div class = "line" > < a name = "l00059" > < / a > < span class = "lineno" > 59< / span >   }< / div >
< div class = "line" > < a name = "l00060" > < / a > < span class = "lineno" > 60< / span >   < / div >
< div class = "line" > < a name = "l00061" > < / a > < span class = "lineno" > 61< / span >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00062" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#aa633251a14afbbf6a6652ae193b68790" > 62< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#aa633251a14afbbf6a6652ae193b68790" > BinaryFlatIndex::add< / a > (< span class = "keyword" > const< / span > < span class = "keywordtype" > unsigned< / span > < span class = "keywordtype" > char< / span > * data,< / div >
< div class = "line" > < a name = "l00063" > < / a > < span class = "lineno" > 63< / span >   < span class = "keywordtype" > int< / span > numVecs,< / div >
< div class = "line" > < a name = "l00064" > < / a > < span class = "lineno" > 64< / span >   cudaStream_t stream) {< / div >
< div class = "line" > < a name = "l00065" > < / a > < span class = "lineno" > 65< / span >   < span class = "keywordflow" > if< / span > (numVecs == 0) {< / div >
< div class = "line" > < a name = "l00066" > < / a > < span class = "lineno" > 66< / span >   < span class = "keywordflow" > return< / span > ;< / div >
< div class = "line" > < a name = "l00067" > < / a > < span class = "lineno" > 67< / span >   }< / div >
< div class = "line" > < a name = "l00068" > < / a > < span class = "lineno" > 68< / span >   < / div >
< div class = "line" > < a name = "l00069" > < / a > < span class = "lineno" > 69< / span >   rawData_.append((< span class = "keywordtype" > char< / span > *) data,< / div >
< div class = "line" > < a name = "l00070" > < / a > < span class = "lineno" > 70< / span >   (< span class = "keywordtype" > size_t< / span > ) (dim_ / 8) * numVecs * < span class = "keyword" > sizeof< / span > (< span class = "keywordtype" > unsigned< / span > < span class = "keywordtype" > char< / span > ),< / div >
< div class = "line" > < a name = "l00071" > < / a > < span class = "lineno" > 71< / span >   stream,< / div >
< div class = "line" > < a name = "l00072" > < / a > < span class = "lineno" > 72< / span >   < span class = "keyword" > true< / span > < span class = "comment" > /* reserve exactly */< / span > );< / div >
< div class = "line" > < a name = "l00073" > < / a > < span class = "lineno" > 73< / span >   < / div >
< div class = "line" > < a name = "l00074" > < / a > < span class = "lineno" > 74< / span >   num_ += numVecs;< / div >
< div class = "line" > < a name = "l00075" > < / a > < span class = "lineno" > 75< / span >   < / div >
< div class = "line" > < a name = "l00076" > < / a > < span class = "lineno" > 76< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< unsigned char, 2, true> < / a > vectors(< / div >
< div class = "line" > < a name = "l00077" > < / a > < span class = "lineno" > 77< / span >   (< span class = "keywordtype" > unsigned< / span > < span class = "keywordtype" > char< / span > *) rawData_.data(), {(int) num_, (dim_ / 8)}, space_);< / div >
< div class = "line" > < a name = "l00078" > < / a > < span class = "lineno" > 78< / span >   vectors_ = std::move(vectors);< / div >
< div class = "line" > < a name = "l00079" > < / a > < span class = "lineno" > 79< / span >   }< / 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 >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00082" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#a6b31cef9564d47f0d188ae34c4b5eacc" > 82< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#a6b31cef9564d47f0d188ae34c4b5eacc" > BinaryFlatIndex::reset< / a > () {< / div >
< div class = "line" > < a name = "l00083" > < / a > < span class = "lineno" > 83< / span >   rawData_.clear();< / div >
< div class = "line" > < a name = "l00084" > < / a > < span class = "lineno" > 84< / span >   vectors_ = std::move(< a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< unsigned char, 2, true> < / a > ());< / div >
< div class = "line" > < a name = "l00085" > < / a > < span class = "lineno" > 85< / span >   num_ = 0;< / 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 >   < / div >
< div class = "line" > < a name = "l00088" > < / a > < span class = "lineno" > 88< / span >   } }< / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1BinaryFlatIndex_html_a6b31cef9564d47f0d188ae34c4b5eacc" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#a6b31cef9564d47f0d188ae34c4b5eacc" > faiss::gpu::BinaryFlatIndex::reset< / a > < / div > < div class = "ttdeci" > void reset()< / div > < div class = "ttdoc" > Free all storage. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "BinaryFlatIndex_8cu_source.html#l00082" > BinaryFlatIndex.cu:82< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1GpuResources_html_aa0354aa570c24e17a9f8a6a45b153ed2" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1GpuResources.html#aa0354aa570c24e17a9f8a6a45b153ed2" > faiss::gpu::GpuResources::getDefaultStreamCurrentDevice< / a > < / div > < div class = "ttdeci" > cudaStream_t getDefaultStreamCurrentDevice()< / div > < div class = "ttdoc" > Calls getDefaultStream with the current device. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "GpuResources_8cpp_source.html#l00023" > GpuResources.cpp:23< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1Tensor_html_a6699c311648457f257afa340c61f417c" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html#a6699c311648457f257afa340c61f417c" > faiss::gpu::Tensor::getSize< / a > < / div > < div class = "ttdeci" > __host__ __device__ IndexT getSize(int i) const < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Tensor_8cuh_source.html#l00222" > Tensor.cuh:222< / 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_1BinaryFlatIndex_html_aa3440ccb9bc693cbc89386b8cc981565" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#aa3440ccb9bc693cbc89386b8cc981565" > faiss::gpu::BinaryFlatIndex::getSize< / a > < / div > < div class = "ttdeci" > int getSize() const < / div > < div class = "ttdoc" > Returns the number of vectors we contain. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "BinaryFlatIndex_8cu_source.html#l00028" > BinaryFlatIndex.cu:28< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1BinaryFlatIndex_html_a897e1b584bda7a949e5e8644d0bc972b" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#a897e1b584bda7a949e5e8644d0bc972b" > faiss::gpu::BinaryFlatIndex::reserve< / a > < / div > < div class = "ttdeci" > void reserve(size_t numVecs, cudaStream_t stream)< / div > < div class = "ttdoc" > Reserve storage that can contain at least this many vectors. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "BinaryFlatIndex_8cu_source.html#l00037" > BinaryFlatIndex.cu:37< / a > < / div > < / div >
2018-12-20 00:48:35 +08:00
< div class = "ttc" id = "classfaiss_1_1gpu_1_1DeviceTensor_html" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > faiss::gpu::DeviceTensor< unsigned char, 2, true > < / a > < / div > < / div >
2019-05-28 22:17:22 +08:00
< div class = "ttc" id = "classfaiss_1_1gpu_1_1BinaryFlatIndex_html_a0cc143e913b7a06e3ed31e5a6b546a6b" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#a0cc143e913b7a06e3ed31e5a6b546a6b" > faiss::gpu::BinaryFlatIndex::getVectorsRef< / a > < / div > < div class = "ttdeci" > Tensor< unsigned char, 2, true > & getVectorsRef()< / div > < div class = "ttdoc" > Returns a reference to our vectors currently in use. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "BinaryFlatIndex_8cu_source.html#l00042" > BinaryFlatIndex.cu:42< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1BinaryFlatIndex_html_aa633251a14afbbf6a6652ae193b68790" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1BinaryFlatIndex.html#aa633251a14afbbf6a6652ae193b68790" > faiss::gpu::BinaryFlatIndex::add< / a > < / div > < div class = "ttdeci" > void add(const unsigned char *data, int numVecs, cudaStream_t stream)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "BinaryFlatIndex_8cu_source.html#l00062" > BinaryFlatIndex.cu:62< / a > < / div > < / div >
2018-12-20 00:48:35 +08:00
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