2017-02-23 06:26:44 +08:00
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< title > Faiss: IVFPQ.cu Source File< / title >
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_49d1182a3b8dfb62757c53ae905481ad.html" > impl< / a > < / li > < / ul >
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< div class = "title" > IVFPQ.cu< / 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" > #include " IVFPQ.cuh" < / span > < / div >
< div class = "line" > < a name = "l00013" > < / a > < span class = "lineno" > 13< / span >   < span class = "preprocessor" > #include " ../GpuResources.h" < / span > < / div >
< div class = "line" > < a name = "l00014" > < / a > < span class = "lineno" > 14< / span >   < span class = "preprocessor" > #include " BroadcastSum.cuh" < / span > < / div >
< div class = "line" > < a name = "l00015" > < / a > < span class = "lineno" > 15< / span >   < span class = "preprocessor" > #include " Distance.cuh" < / span > < / div >
< div class = "line" > < a name = "l00016" > < / a > < span class = "lineno" > 16< / span >   < span class = "preprocessor" > #include " FlatIndex.cuh" < / span > < / div >
< div class = "line" > < a name = "l00017" > < / a > < span class = "lineno" > 17< / span >   < span class = "preprocessor" > #include " InvertedListAppend.cuh" < / span > < / div >
< div class = "line" > < a name = "l00018" > < / a > < span class = "lineno" > 18< / span >   < span class = "preprocessor" > #include " L2Norm.cuh" < / span > < / div >
< div class = "line" > < a name = "l00019" > < / a > < span class = "lineno" > 19< / span >   < span class = "preprocessor" > #include " PQCodeDistances.cuh" < / span > < / div >
< div class = "line" > < a name = "l00020" > < / a > < span class = "lineno" > 20< / span >   < span class = "preprocessor" > #include " PQScanMultiPassNoPrecomputed.cuh" < / span > < / div >
< div class = "line" > < a name = "l00021" > < / a > < span class = "lineno" > 21< / span >   < span class = "preprocessor" > #include " PQScanMultiPassPrecomputed.cuh" < / span > < / div >
< div class = "line" > < a name = "l00022" > < / a > < span class = "lineno" > 22< / span >   < span class = "preprocessor" > #include " RemapIndices.h" < / span > < / div >
< div class = "line" > < a name = "l00023" > < / a > < span class = "lineno" > 23< / span >   < span class = "preprocessor" > #include " VectorResidual.cuh" < / span > < / div >
< div class = "line" > < a name = "l00024" > < / a > < span class = "lineno" > 24< / span >   < span class = "preprocessor" > #include " ../utils/DeviceDefs.cuh" < / span > < / div >
< div class = "line" > < a name = "l00025" > < / a > < span class = "lineno" > 25< / span >   < span class = "preprocessor" > #include " ../utils/DeviceUtils.h" < / span > < / div >
< div class = "line" > < a name = "l00026" > < / a > < span class = "lineno" > 26< / span >   < span class = "preprocessor" > #include " ../utils/HostTensor.cuh" < / span > < / div >
< div class = "line" > < a name = "l00027" > < / a > < span class = "lineno" > 27< / span >   < span class = "preprocessor" > #include " ../utils/MatrixMult.cuh" < / span > < / div >
< div class = "line" > < a name = "l00028" > < / a > < span class = "lineno" > 28< / span >   < span class = "preprocessor" > #include " ../utils/NoTypeTensor.cuh" < / span > < / div >
< div class = "line" > < a name = "l00029" > < / a > < span class = "lineno" > 29< / span >   < span class = "preprocessor" > #include " ../utils/Transpose.cuh" < / span > < / div >
< div class = "line" > < a name = "l00030" > < / a > < span class = "lineno" > 30< / span >   < span class = "preprocessor" > #include < limits> < / span > < / div >
< div class = "line" > < a name = "l00031" > < / a > < span class = "lineno" > 31< / span >   < span class = "preprocessor" > #include < thrust/host_vector.h> < / span > < / div >
< div class = "line" > < a name = "l00032" > < / a > < span class = "lineno" > 32< / span >   < span class = "preprocessor" > #include < unordered_map> < / span > < / div >
< div class = "line" > < a name = "l00033" > < / a > < span class = "lineno" > 33< / span >   < / div >
< div class = "line" > < a name = "l00034" > < / a > < span class = "lineno" > 34< / span >   < span class = "keyword" > namespace < / span > faiss { < span class = "keyword" > namespace < / span > gpu {< / div >
< div class = "line" > < a name = "l00035" > < / a > < span class = "lineno" > 35< / span >   < / div >
< div class = "line" > < a name = "l00036" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1IVFPQ.html#acdcc64f9b72e661d39528d5d67e54536" > 36< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFPQ.html#acdcc64f9b72e661d39528d5d67e54536" > IVFPQ::IVFPQ< / a > (< a class = "code" href = "classfaiss_1_1gpu_1_1GpuResources.html" > GpuResources< / a > * resources,< / div >
< div class = "line" > < a name = "l00037" > < / a > < span class = "lineno" > 37< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1FlatIndex.html" > FlatIndex< / a > * quantizer,< / div >
< div class = "line" > < a name = "l00038" > < / a > < span class = "lineno" > 38< / span >   < span class = "keywordtype" > int< / span > numSubQuantizers,< / div >
< div class = "line" > < a name = "l00039" > < / a > < span class = "lineno" > 39< / span >   < span class = "keywordtype" > int< / span > bitsPerSubQuantizer,< / div >
< div class = "line" > < a name = "l00040" > < / a > < span class = "lineno" > 40< / span >   < span class = "keywordtype" > float< / span > * pqCentroidData,< / div >
< div class = "line" > < a name = "l00041" > < / a > < span class = "lineno" > 41< / span >   IndicesOptions indicesOptions,< / div >
< div class = "line" > < a name = "l00042" > < / a > < span class = "lineno" > 42< / span >   < span class = "keywordtype" > bool< / span > useFloat16LookupTables) :< / div >
< div class = "line" > < a name = "l00043" > < / a > < span class = "lineno" > 43< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html" > IVFBase< / a > (resources,< / div >
< div class = "line" > < a name = "l00044" > < / a > < span class = "lineno" > 44< / span >   quantizer,< / div >
< div class = "line" > < a name = "l00045" > < / a > < span class = "lineno" > 45< / span >   numSubQuantizers,< / div >
< div class = "line" > < a name = "l00046" > < / a > < span class = "lineno" > 46< / span >   indicesOptions),< / div >
< div class = "line" > < a name = "l00047" > < / a > < span class = "lineno" > 47< / span >   numSubQuantizers_(numSubQuantizers),< / div >
< div class = "line" > < a name = "l00048" > < / a > < span class = "lineno" > 48< / span >   bitsPerSubQuantizer_(bitsPerSubQuantizer),< / div >
< div class = "line" > < a name = "l00049" > < / a > < span class = "lineno" > 49< / span >   numSubQuantizerCodes_(utils::pow2(bitsPerSubQuantizer_)),< / div >
< div class = "line" > < a name = "l00050" > < / a > < span class = "lineno" > 50< / span >   dimPerSubQuantizer_(dim_ / numSubQuantizers),< / div >
< div class = "line" > < a name = "l00051" > < / a > < span class = "lineno" > 51< / span >   precomputedCodes_(false),< / div >
< div class = "line" > < a name = "l00052" > < / a > < span class = "lineno" > 52< / span >   useFloat16LookupTables_(useFloat16LookupTables) {< / div >
< div class = "line" > < a name = "l00053" > < / a > < span class = "lineno" > 53< / span >   FAISS_ASSERT(pqCentroidData);< / div >
< div class = "line" > < a name = "l00054" > < / a > < span class = "lineno" > 54< / span >   < / div >
< div class = "line" > < a name = "l00055" > < / a > < span class = "lineno" > 55< / span >   FAISS_ASSERT(bitsPerSubQuantizer_ < = 8);< / div >
< div class = "line" > < a name = "l00056" > < / a > < span class = "lineno" > 56< / span >   FAISS_ASSERT(< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#aba3e3cfa469e5187f2d553fff10e0250" > dim_< / a > % numSubQuantizers_ == 0);< / div >
< div class = "line" > < a name = "l00057" > < / a > < span class = "lineno" > 57< / span >   FAISS_ASSERT(< a class = "code" href = "classfaiss_1_1gpu_1_1IVFPQ.html#adb58eeacdceb0e0fde1820ca7f116e05" > isSupportedPQCodeLength< / a > (< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a319568b832518392fed33ea4f8bfc613" > bytesPerVector_< / a > ));< / div >
< div class = "line" > < a name = "l00058" > < / a > < span class = "lineno" > 58< / span >   < / div >
< div class = "line" > < a name = "l00059" > < / a > < span class = "lineno" > 59< / span >   < span class = "preprocessor" > #ifndef FAISS_USE_FLOAT16< / span > < / div >
< div class = "line" > < a name = "l00060" > < / a > < span class = "lineno" > 60< / span >   < span class = "preprocessor" > < / span > FAISS_ASSERT(!useFloat16LookupTables_);< / div >
< div class = "line" > < a name = "l00061" > < / a > < span class = "lineno" > 61< / span >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00062" > < / a > < span class = "lineno" > 62< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00063" > < / a > < span class = "lineno" > 63< / span >   setPQCentroids_(pqCentroidData);< / div >
< div class = "line" > < a name = "l00064" > < / a > < span class = "lineno" > 64< / span >   }< / div >
< div class = "line" > < a name = "l00065" > < / a > < span class = "lineno" > 65< / span >   < / div >
< div class = "line" > < a name = "l00066" > < / a > < span class = "lineno" > 66< / span >   IVFPQ::~IVFPQ() {< / 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 >   < / div >
< div class = "line" > < a name = "l00070" > < / a > < span class = "lineno" > 70< / span >   < span class = "keywordtype" > bool< / span > < / div >
< div class = "line" > < a name = "l00071" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1IVFPQ.html#adb58eeacdceb0e0fde1820ca7f116e05" > 71< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFPQ.html#adb58eeacdceb0e0fde1820ca7f116e05" > IVFPQ::isSupportedPQCodeLength< / a > (< span class = "keywordtype" > int< / span > size) {< / div >
< div class = "line" > < a name = "l00072" > < / a > < span class = "lineno" > 72< / span >   < span class = "keywordflow" > switch< / span > (size) {< / div >
< div class = "line" > < a name = "l00073" > < / a > < span class = "lineno" > 73< / span >   < span class = "keywordflow" > case< / span > 1:< / div >
< div class = "line" > < a name = "l00074" > < / a > < span class = "lineno" > 74< / span >   < span class = "keywordflow" > case< / span > 2:< / div >
< div class = "line" > < a name = "l00075" > < / a > < span class = "lineno" > 75< / span >   < span class = "keywordflow" > case< / span > 3:< / div >
< div class = "line" > < a name = "l00076" > < / a > < span class = "lineno" > 76< / span >   < span class = "keywordflow" > case< / span > 4:< / div >
< div class = "line" > < a name = "l00077" > < / a > < span class = "lineno" > 77< / span >   < span class = "keywordflow" > case< / span > 8:< / div >
< div class = "line" > < a name = "l00078" > < / a > < span class = "lineno" > 78< / span >   < span class = "keywordflow" > case< / span > 12:< / div >
< div class = "line" > < a name = "l00079" > < / a > < span class = "lineno" > 79< / span >   < span class = "keywordflow" > case< / span > 16:< / div >
< div class = "line" > < a name = "l00080" > < / a > < span class = "lineno" > 80< / span >   < span class = "keywordflow" > case< / span > 20:< / div >
< div class = "line" > < a name = "l00081" > < / a > < span class = "lineno" > 81< / span >   < span class = "keywordflow" > case< / span > 24:< / div >
< div class = "line" > < a name = "l00082" > < / a > < span class = "lineno" > 82< / span >   < span class = "keywordflow" > case< / span > 28:< / div >
< div class = "line" > < a name = "l00083" > < / a > < span class = "lineno" > 83< / span >   < span class = "keywordflow" > case< / span > 32:< / div >
< div class = "line" > < a name = "l00084" > < / a > < span class = "lineno" > 84< / span >   < span class = "keywordflow" > case< / span > 40:< / div >
< div class = "line" > < a name = "l00085" > < / a > < span class = "lineno" > 85< / span >   < span class = "keywordflow" > case< / span > 48:< / div >
< div class = "line" > < a name = "l00086" > < / a > < span class = "lineno" > 86< / span >   < span class = "keywordflow" > case< / span > 56: < span class = "comment" > // only supported with float16< / span > < / div >
< div class = "line" > < a name = "l00087" > < / a > < span class = "lineno" > 87< / span >   < span class = "keywordflow" > case< / span > 64: < span class = "comment" > // only supported with float16< / span > < / div >
2017-02-25 00:32:08 +08:00
< div class = "line" > < a name = "l00088" > < / a > < span class = "lineno" > 88< / span >   < span class = "keywordflow" > case< / span > 96: < span class = "comment" > // only supported with float16< / span > < / div >
< div class = "line" > < a name = "l00089" > < / a > < span class = "lineno" > 89< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > true< / span > ;< / div >
< div class = "line" > < a name = "l00090" > < / a > < span class = "lineno" > 90< / span >   < span class = "keywordflow" > default< / span > :< / div >
< div class = "line" > < a name = "l00091" > < / a > < span class = "lineno" > 91< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > false< / span > ;< / div >
< div class = "line" > < a name = "l00092" > < / a > < span class = "lineno" > 92< / span >   }< / div >
< div class = "line" > < a name = "l00093" > < / a > < span class = "lineno" > 93< / span >   }< / 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 >   < span class = "keywordtype" > bool< / span > < / div >
< div class = "line" > < a name = "l00096" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1IVFPQ.html#a0eedf0295ad73125ee1254173a176674" > 96< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFPQ.html#a0eedf0295ad73125ee1254173a176674" > IVFPQ::isSupportedNoPrecomputedSubDimSize< / a > (< span class = "keywordtype" > int< / span > dims) {< / div >
< div class = "line" > < a name = "l00097" > < / a > < span class = "lineno" > 97< / span >   < span class = "keywordflow" > return< / span > faiss::gpu::isSupportedNoPrecomputedSubDimSize(dims);< / div >
< div class = "line" > < a name = "l00098" > < / a > < span class = "lineno" > 98< / span >   }< / div >
< div class = "line" > < a name = "l00099" > < / a > < span class = "lineno" > 99< / span >   < / div >
< div class = "line" > < a name = "l00100" > < / a > < span class = "lineno" > 100< / span >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00101" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1IVFPQ.html#adcee5dbf48c3cb6b8a67f5f392e155fd" > 101< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFPQ.html#adcee5dbf48c3cb6b8a67f5f392e155fd" > IVFPQ::setPrecomputedCodes< / a > (< span class = "keywordtype" > bool< / span > enable) {< / div >
< div class = "line" > < a name = "l00102" > < / a > < span class = "lineno" > 102< / span >   < span class = "keywordflow" > if< / span > (precomputedCodes_ != enable) {< / div >
< div class = "line" > < a name = "l00103" > < / a > < span class = "lineno" > 103< / span >   precomputedCodes_ = enable;< / div >
< div class = "line" > < a name = "l00104" > < / a > < span class = "lineno" > 104< / span >   < / div >
< div class = "line" > < a name = "l00105" > < / a > < span class = "lineno" > 105< / span >   < span class = "keywordflow" > if< / span > (precomputedCodes_) {< / div >
< div class = "line" > < a name = "l00106" > < / a > < span class = "lineno" > 106< / span >   precomputeCodes_();< / div >
< div class = "line" > < a name = "l00107" > < / a > < span class = "lineno" > 107< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00108" > < / a > < span class = "lineno" > 108< / span >   < span class = "comment" > // Clear out old precomputed code data< / span > < / div >
< div class = "line" > < a name = "l00109" > < / a > < span class = "lineno" > 109< / span >   precomputedCode_ = std::move(< a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< float, 3, true> < / a > ());< / 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 = "preprocessor" > #ifdef FAISS_USE_FLOAT16< / span > < / div >
< div class = "line" > < a name = "l00112" > < / a > < span class = "lineno" > 112< / span >   < span class = "preprocessor" > < / span > precomputedCodeHalf_ = std::move(< a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< half, 3, true> < / a > ());< / div >
< div class = "line" > < a name = "l00113" > < / a > < span class = "lineno" > 113< / span >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00114" > < / a > < span class = "lineno" > 114< / span >   < span class = "preprocessor" > < / span > }< / div >
< div class = "line" > < a name = "l00115" > < / a > < span class = "lineno" > 115< / span >   }< / div >
< div class = "line" > < a name = "l00116" > < / a > < span class = "lineno" > 116< / span >   }< / div >
< div class = "line" > < a name = "l00117" > < / a > < span class = "lineno" > 117< / span >   < / div >
< div class = "line" > < a name = "l00118" > < / a > < span class = "lineno" > 118< / span >   < span class = "keywordtype" > int< / span > < / div >
< div class = "line" > < a name = "l00119" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1IVFPQ.html#ab1e07b04b25569cc58c5f3f033f4dab3" > 119< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFPQ.html#ab1e07b04b25569cc58c5f3f033f4dab3" > IVFPQ::classifyAndAddVectors< / a > (< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< float, 2, true> < / a > & vecs,< / div >
< div class = "line" > < a name = "l00120" > < / a > < span class = "lineno" > 120< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< long, 1, true> < / a > & indices) {< / div >
< div class = "line" > < a name = "l00121" > < / a > < span class = "lineno" > 121< / span >   FAISS_ASSERT(vecs.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0) == indices.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0));< / div >
< div class = "line" > < a name = "l00122" > < / a > < span class = "lineno" > 122< / span >   FAISS_ASSERT(vecs.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (1) == < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#aba3e3cfa469e5187f2d553fff10e0250" > dim_< / a > );< / 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 >   FAISS_ASSERT(!< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a878114abdba07c9cf7735f9c0ed594c3" > quantizer_< / a > -> getUseFloat16());< / div >
< div class = "line" > < a name = "l00125" > < / a > < span class = "lineno" > 125< / span >   < span class = "keyword" > auto< / span > & coarseCentroids = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a878114abdba07c9cf7735f9c0ed594c3" > quantizer_< / a > -> < a class = "code" href = "classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06" > getVectorsFloat32Ref< / a > ();< / div >
< div class = "line" > < a name = "l00126" > < / a > < span class = "lineno" > 126< / span >   < span class = "keyword" > auto< / span > & mem = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getMemoryManagerCurrentDevice();< / div >
< div class = "line" > < a name = "l00127" > < / a > < span class = "lineno" > 127< / span >   < span class = "keyword" > auto< / span > stream = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice();< / div >
< div class = "line" > < a name = "l00128" > < / a > < span class = "lineno" > 128< / span >   < / div >
< div class = "line" > < a name = "l00129" > < / a > < span class = "lineno" > 129< / span >   < span class = "comment" > // Number of valid vectors that we actually add; we return this< / span > < / div >
< div class = "line" > < a name = "l00130" > < / a > < span class = "lineno" > 130< / span >   < span class = "keywordtype" > int< / span > numAdded = 0;< / 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 = "comment" > // We don' t actually need this< / span > < / div >
< div class = "line" > < a name = "l00133" > < / a > < span class = "lineno" > 133< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< float, 2, true> < / a > listDistance(mem, {vecs.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0), 1}, stream);< / div >
< div class = "line" > < a name = "l00134" > < / a > < span class = "lineno" > 134< / span >   < span class = "comment" > // We use this< / span > < / div >
< div class = "line" > < a name = "l00135" > < / a > < span class = "lineno" > 135< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< int, 2, true> < / a > listIds2d(mem, {vecs.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0), 1}, stream);< / div >
< div class = "line" > < a name = "l00136" > < / a > < span class = "lineno" > 136< / span >   < span class = "keyword" > auto< / span > listIds = listIds2d.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a3095eaec5711fe697c16c21598a8ddc1" > view< / a > < 1> ({vecs.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0)});< / div >
< div class = "line" > < a name = "l00137" > < / a > < span class = "lineno" > 137< / span >   < / div >
< div class = "line" > < a name = "l00138" > < / a > < span class = "lineno" > 138< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a878114abdba07c9cf7735f9c0ed594c3" > quantizer_< / a > -> query(vecs, 1, listDistance, listIds2d, < span class = "keyword" > false< / 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 >   < span class = "comment" > // Copy the lists that we wish to append to back to the CPU< / span > < / div >
< div class = "line" > < a name = "l00141" > < / a > < span class = "lineno" > 141< / span >   < span class = "comment" > // FIXME: really this can be into pinned memory and a true async< / span > < / div >
< div class = "line" > < a name = "l00142" > < / a > < span class = "lineno" > 142< / span >   < span class = "comment" > // copy on a different stream; we can start the copy early, but it' s< / span > < / div >
< div class = "line" > < a name = "l00143" > < / a > < span class = "lineno" > 143< / span >   < span class = "comment" > // tiny< / span > < / div >
< div class = "line" > < a name = "l00144" > < / a > < span class = "lineno" > 144< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html" > HostTensor< int, 1, true> < / a > listIdsHost(listIds, stream);< / div >
< div class = "line" > < a name = "l00145" > < / a > < span class = "lineno" > 145< / span >   < / div >
< div class = "line" > < a name = "l00146" > < / a > < span class = "lineno" > 146< / span >   < span class = "comment" > // Calculate the residual for each closest centroid< / span > < / div >
< div class = "line" > < a name = "l00147" > < / a > < span class = "lineno" > 147< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< float, 2, true> < / a > residuals(< / div >
< div class = "line" > < a name = "l00148" > < / a > < span class = "lineno" > 148< / span >   mem, {vecs.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0), vecs.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (1)}, stream);< / 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 >   runCalcResidual(vecs, coarseCentroids, listIds, residuals, stream);< / div >
< div class = "line" > < a name = "l00151" > < / a > < span class = "lineno" > 151< / span >   < / div >
< div class = "line" > < a name = "l00152" > < / a > < span class = "lineno" > 152< / span >   < span class = "comment" > // Residuals are in the form< / span > < / div >
< div class = "line" > < a name = "l00153" > < / a > < span class = "lineno" > 153< / span >   < span class = "comment" > // (vec x numSubQuantizer x dimPerSubQuantizer)< / span > < / div >
< div class = "line" > < a name = "l00154" > < / a > < span class = "lineno" > 154< / span >   < span class = "comment" > // transpose to< / span > < / div >
< div class = "line" > < a name = "l00155" > < / a > < span class = "lineno" > 155< / span >   < span class = "comment" > // (numSubQuantizer x vec x dimPerSubQuantizer)< / span > < / div >
< div class = "line" > < a name = "l00156" > < / a > < span class = "lineno" > 156< / span >   < span class = "keyword" > auto< / span > residualsView = residuals.view< 3> (< / div >
< div class = "line" > < a name = "l00157" > < / a > < span class = "lineno" > 157< / span >   {residuals.getSize(0), numSubQuantizers_, dimPerSubQuantizer_});< / div >
< div class = "line" > < a name = "l00158" > < / a > < span class = "lineno" > 158< / span >   < / div >
< div class = "line" > < a name = "l00159" > < / a > < span class = "lineno" > 159< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< float, 3, true> < / a > residualsTranspose(< / div >
< div class = "line" > < a name = "l00160" > < / a > < span class = "lineno" > 160< / span >   mem,< / div >
< div class = "line" > < a name = "l00161" > < / a > < span class = "lineno" > 161< / span >   {numSubQuantizers_, residuals.getSize(0), dimPerSubQuantizer_},< / div >
< div class = "line" > < a name = "l00162" > < / a > < span class = "lineno" > 162< / span >   stream);< / div >
< div class = "line" > < a name = "l00163" > < / a > < span class = "lineno" > 163< / span >   < / div >
< div class = "line" > < a name = "l00164" > < / a > < span class = "lineno" > 164< / span >   runTransposeAny(residualsView, 0, 1, residualsTranspose, stream);< / div >
< div class = "line" > < a name = "l00165" > < / a > < span class = "lineno" > 165< / span >   < / div >
< div class = "line" > < a name = "l00166" > < / a > < span class = "lineno" > 166< / span >   < span class = "comment" > // Get the product quantizer centroids in the form< / span > < / div >
< div class = "line" > < a name = "l00167" > < / a > < span class = "lineno" > 167< / span >   < span class = "comment" > // (numSubQuantizer x numSubQuantizerCodes x dimPerSubQuantizer)< / span > < / div >
< div class = "line" > < a name = "l00168" > < / a > < span class = "lineno" > 168< / span >   < span class = "comment" > // which is pqCentroidsMiddleCode_< / span > < / div >
< div class = "line" > < a name = "l00169" > < / a > < span class = "lineno" > 169< / span >   < / div >
< div class = "line" > < a name = "l00170" > < / a > < span class = "lineno" > 170< / span >   < span class = "comment" > // We now have a batch operation to find the top-1 distances:< / span > < / div >
< div class = "line" > < a name = "l00171" > < / a > < span class = "lineno" > 171< / span >   < span class = "comment" > // batch size: numSubQuantizer< / span > < / div >
< div class = "line" > < a name = "l00172" > < / a > < span class = "lineno" > 172< / span >   < span class = "comment" > // centroids: (numSubQuantizerCodes x dimPerSubQuantizer)< / span > < / div >
< div class = "line" > < a name = "l00173" > < / a > < span class = "lineno" > 173< / span >   < span class = "comment" > // residuals: (vec x dimPerSubQuantizer)< / span > < / div >
< div class = "line" > < a name = "l00174" > < / a > < span class = "lineno" > 174< / span >   < span class = "comment" > // => (numSubQuantizer x vec x 1)< / span > < / div >
< div class = "line" > < a name = "l00175" > < / a > < span class = "lineno" > 175< / span >   < / div >
< div class = "line" > < a name = "l00176" > < / a > < span class = "lineno" > 176< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< float, 3, true> < / a > closestSubQDistance(< / div >
< div class = "line" > < a name = "l00177" > < / a > < span class = "lineno" > 177< / span >   mem, {numSubQuantizers_, residuals.getSize(0), 1}, stream);< / div >
< div class = "line" > < a name = "l00178" > < / a > < span class = "lineno" > 178< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< int, 3, true> < / a > closestSubQIndex(< / div >
< div class = "line" > < a name = "l00179" > < / a > < span class = "lineno" > 179< / span >   mem, {numSubQuantizers_, residuals.getSize(0), 1}, stream);< / div >
< div class = "line" > < a name = "l00180" > < / a > < span class = "lineno" > 180< / span >   < / div >
< div class = "line" > < a name = "l00181" > < / a > < span class = "lineno" > 181< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > subQ = 0; subQ < numSubQuantizers_; ++subQ) {< / div >
< div class = "line" > < a name = "l00182" > < / a > < span class = "lineno" > 182< / span >   < span class = "keyword" > auto< / span > closestSubQDistanceView = closestSubQDistance[subQ].< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a3095eaec5711fe697c16c21598a8ddc1" > view< / a > ();< / div >
< div class = "line" > < a name = "l00183" > < / a > < span class = "lineno" > 183< / span >   < span class = "keyword" > auto< / span > closestSubQIndexView = closestSubQIndex[subQ].view();< / div >
< div class = "line" > < a name = "l00184" > < / a > < span class = "lineno" > 184< / span >   < / div >
< div class = "line" > < a name = "l00185" > < / a > < span class = "lineno" > 185< / span >   < span class = "keyword" > auto< / span > pqCentroidsMiddleCodeView = pqCentroidsMiddleCode_[subQ].< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a3095eaec5711fe697c16c21598a8ddc1" > view< / a > ();< / div >
< div class = "line" > < a name = "l00186" > < / a > < span class = "lineno" > 186< / span >   < span class = "keyword" > auto< / span > residualsTransposeView = residualsTranspose[subQ].view();< / div >
< div class = "line" > < a name = "l00187" > < / a > < span class = "lineno" > 187< / span >   < / div >
< div class = "line" > < a name = "l00188" > < / a > < span class = "lineno" > 188< / span >   runL2Distance(< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > ,< / div >
< div class = "line" > < a name = "l00189" > < / a > < span class = "lineno" > 189< / span >   pqCentroidsMiddleCodeView,< / div >
< div class = "line" > < a name = "l00190" > < / a > < span class = "lineno" > 190< / span >   < span class = "keyword" > nullptr< / span > , < span class = "comment" > // no precomputed norms< / span > < / div >
< div class = "line" > < a name = "l00191" > < / a > < span class = "lineno" > 191< / span >   residualsTransposeView,< / div >
< div class = "line" > < a name = "l00192" > < / a > < span class = "lineno" > 192< / span >   1,< / div >
< div class = "line" > < a name = "l00193" > < / a > < span class = "lineno" > 193< / span >   closestSubQDistanceView,< / div >
< div class = "line" > < a name = "l00194" > < / a > < span class = "lineno" > 194< / span >   closestSubQIndexView,< / div >
< div class = "line" > < a name = "l00195" > < / a > < span class = "lineno" > 195< / span >   < span class = "comment" > // We don' t care about distances< / span > < / div >
< div class = "line" > < a name = "l00196" > < / a > < span class = "lineno" > 196< / span >   < span class = "keyword" > true< / span > ,< / div >
< div class = "line" > < a name = "l00197" > < / a > < span class = "lineno" > 197< / span >   < span class = "comment" > // Much larger tile size, since these vectors are a< / span > < / div >
< div class = "line" > < a name = "l00198" > < / a > < span class = "lineno" > 198< / span >   < span class = "comment" > // lot smaller than query vectors< / span > < / div >
< div class = "line" > < a name = "l00199" > < / a > < span class = "lineno" > 199< / span >   1024);< / div >
< div class = "line" > < a name = "l00200" > < / a > < span class = "lineno" > 200< / span >   }< / div >
< div class = "line" > < a name = "l00201" > < / a > < span class = "lineno" > 201< / span >   < / div >
< div class = "line" > < a name = "l00202" > < / a > < span class = "lineno" > 202< / span >   < span class = "comment" > // Now, we have the nearest sub-q centroid for each slice of the< / span > < / div >
< div class = "line" > < a name = "l00203" > < / a > < span class = "lineno" > 203< / span >   < span class = "comment" > // residual vector.< / span > < / div >
< div class = "line" > < a name = "l00204" > < / a > < span class = "lineno" > 204< / span >   < span class = "keyword" > auto< / span > closestSubQIndexView = closestSubQIndex.view< 2> (< / div >
< div class = "line" > < a name = "l00205" > < / a > < span class = "lineno" > 205< / span >   {numSubQuantizers_, residuals.getSize(0)});< / div >
< div class = "line" > < a name = "l00206" > < / a > < span class = "lineno" > 206< / span >   < / div >
< div class = "line" > < a name = "l00207" > < / a > < span class = "lineno" > 207< / span >   < span class = "comment" > // Transpose this for easy use< / span > < / div >
< div class = "line" > < a name = "l00208" > < / a > < span class = "lineno" > 208< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< int, 2, true> < / a > encodings(< / div >
< div class = "line" > < a name = "l00209" > < / a > < span class = "lineno" > 209< / span >   mem, {residuals.getSize(0), numSubQuantizers_}, stream);< / div >
< div class = "line" > < a name = "l00210" > < / a > < span class = "lineno" > 210< / span >   < / div >
< div class = "line" > < a name = "l00211" > < / a > < span class = "lineno" > 211< / span >   runTransposeAny(closestSubQIndexView, 0, 1, encodings, stream);< / div >
< div class = "line" > < a name = "l00212" > < / a > < span class = "lineno" > 212< / span >   < / div >
< div class = "line" > < a name = "l00213" > < / a > < span class = "lineno" > 213< / span >   < span class = "comment" > // Now we add the encoded vectors to the individual lists< / span > < / div >
< div class = "line" > < a name = "l00214" > < / a > < span class = "lineno" > 214< / span >   < span class = "comment" > // First, make sure that there is space available for adding the new< / span > < / div >
< div class = "line" > < a name = "l00215" > < / a > < span class = "lineno" > 215< / span >   < span class = "comment" > // encoded vectors and indices< / span > < / div >
< div class = "line" > < a name = "l00216" > < / a > < span class = "lineno" > 216< / span >   < / div >
< div class = "line" > < a name = "l00217" > < / a > < span class = "lineno" > 217< / span >   < span class = "comment" > // list id -> # being added< / span > < / div >
< div class = "line" > < a name = "l00218" > < / a > < span class = "lineno" > 218< / span >   std::unordered_map< int, int> assignCounts;< / div >
< div class = "line" > < a name = "l00219" > < / a > < span class = "lineno" > 219< / span >   < / div >
< div class = "line" > < a name = "l00220" > < / a > < span class = "lineno" > 220< / span >   < span class = "comment" > // vector id -> offset in list< / span > < / div >
< div class = "line" > < a name = "l00221" > < / a > < span class = "lineno" > 221< / span >   < span class = "comment" > // (we already have vector id -> list id in listIds)< / span > < / div >
< div class = "line" > < a name = "l00222" > < / a > < span class = "lineno" > 222< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html" > HostTensor< int, 1, true> < / a > listOffsetHost({listIdsHost.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0)});< / div >
< div class = "line" > < a name = "l00223" > < / a > < span class = "lineno" > 223< / span >   < / div >
< div class = "line" > < a name = "l00224" > < / a > < span class = "lineno" > 224< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < listIdsHost.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0); ++i) {< / div >
< div class = "line" > < a name = "l00225" > < / a > < span class = "lineno" > 225< / span >   < span class = "keywordtype" > int< / span > listId = listIdsHost[i];< / div >
< div class = "line" > < a name = "l00226" > < / a > < span class = "lineno" > 226< / span >   < / div >
< div class = "line" > < a name = "l00227" > < / a > < span class = "lineno" > 227< / span >   < span class = "comment" > // Add vector could be invalid (contains NaNs etc)< / span > < / div >
< div class = "line" > < a name = "l00228" > < / a > < span class = "lineno" > 228< / span >   < span class = "keywordflow" > if< / span > (listId < 0) {< / div >
< div class = "line" > < a name = "l00229" > < / a > < span class = "lineno" > 229< / span >   listOffsetHost[i] = -1;< / div >
< div class = "line" > < a name = "l00230" > < / a > < span class = "lineno" > 230< / span >   < span class = "keywordflow" > continue< / span > ;< / div >
< div class = "line" > < a name = "l00231" > < / a > < span class = "lineno" > 231< / span >   }< / div >
< div class = "line" > < a name = "l00232" > < / a > < span class = "lineno" > 232< / span >   < / div >
< div class = "line" > < a name = "l00233" > < / a > < span class = "lineno" > 233< / span >   FAISS_ASSERT(listId < < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#accc4d96c14643e5f471220cb1e92ac70" > numLists_< / a > );< / div >
< div class = "line" > < a name = "l00234" > < / a > < span class = "lineno" > 234< / span >   ++numAdded;< / div >
< div class = "line" > < a name = "l00235" > < / a > < span class = "lineno" > 235< / span >   < / div >
< div class = "line" > < a name = "l00236" > < / a > < span class = "lineno" > 236< / span >   < span class = "keywordtype" > int< / span > offset = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a2facc7285107de1f24d3471cbcf15f26" > deviceListData_< / a > [listId]-> size() / < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a319568b832518392fed33ea4f8bfc613" > bytesPerVector_< / a > ;< / div >
< div class = "line" > < a name = "l00237" > < / a > < span class = "lineno" > 237< / span >   < / div >
< div class = "line" > < a name = "l00238" > < / a > < span class = "lineno" > 238< / span >   < span class = "keyword" > auto< / span > it = assignCounts.find(listId);< / div >
< div class = "line" > < a name = "l00239" > < / a > < span class = "lineno" > 239< / span >   < span class = "keywordflow" > if< / span > (it != assignCounts.end()) {< / div >
< div class = "line" > < a name = "l00240" > < / a > < span class = "lineno" > 240< / span >   offset += it-> second;< / div >
< div class = "line" > < a name = "l00241" > < / a > < span class = "lineno" > 241< / span >   it-> second++;< / div >
< div class = "line" > < a name = "l00242" > < / a > < span class = "lineno" > 242< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00243" > < / a > < span class = "lineno" > 243< / span >   assignCounts[listId] = 1;< / div >
< div class = "line" > < a name = "l00244" > < / a > < span class = "lineno" > 244< / span >   }< / div >
< div class = "line" > < a name = "l00245" > < / a > < span class = "lineno" > 245< / span >   < / div >
< div class = "line" > < a name = "l00246" > < / a > < span class = "lineno" > 246< / span >   listOffsetHost[i] = offset;< / div >
< div class = "line" > < a name = "l00247" > < / a > < span class = "lineno" > 247< / span >   }< / div >
< div class = "line" > < a name = "l00248" > < / a > < span class = "lineno" > 248< / span >   < / div >
< div class = "line" > < a name = "l00249" > < / a > < span class = "lineno" > 249< / span >   < span class = "comment" > // If we didn' t add anything (all invalid vectors), no need to< / span > < / div >
< div class = "line" > < a name = "l00250" > < / a > < span class = "lineno" > 250< / span >   < span class = "comment" > // continue< / span > < / div >
< div class = "line" > < a name = "l00251" > < / a > < span class = "lineno" > 251< / span >   < span class = "keywordflow" > if< / span > (numAdded == 0) {< / div >
< div class = "line" > < a name = "l00252" > < / a > < span class = "lineno" > 252< / span >   < span class = "keywordflow" > return< / span > 0;< / div >
< div class = "line" > < a name = "l00253" > < / a > < span class = "lineno" > 253< / span >   }< / div >
< div class = "line" > < a name = "l00254" > < / a > < span class = "lineno" > 254< / span >   < / div >
< div class = "line" > < a name = "l00255" > < / a > < span class = "lineno" > 255< / span >   < span class = "comment" > // We need to resize the data structures for the inverted lists on< / span > < / div >
< div class = "line" > < a name = "l00256" > < / a > < span class = "lineno" > 256< / span >   < span class = "comment" > // the GPUs, which means that they might need reallocation, which< / span > < / div >
< div class = "line" > < a name = "l00257" > < / a > < span class = "lineno" > 257< / span >   < span class = "comment" > // means that their base address may change. Figure out the new base< / span > < / div >
< div class = "line" > < a name = "l00258" > < / a > < span class = "lineno" > 258< / span >   < span class = "comment" > // addresses, and update those in a batch on the device< / span > < / div >
< div class = "line" > < a name = "l00259" > < / a > < span class = "lineno" > 259< / span >   {< / div >
< div class = "line" > < a name = "l00260" > < / a > < span class = "lineno" > 260< / span >   < span class = "comment" > // Resize all of the lists that we are appending to< / span > < / div >
< div class = "line" > < a name = "l00261" > < / a > < span class = "lineno" > 261< / span >   < span class = "keywordflow" > for< / span > (< span class = "keyword" > auto< / span > & counts : assignCounts) {< / div >
< div class = "line" > < a name = "l00262" > < / a > < span class = "lineno" > 262< / span >   < span class = "keyword" > auto< / span > & codes = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a2facc7285107de1f24d3471cbcf15f26" > deviceListData_< / a > [counts.first];< / div >
< div class = "line" > < a name = "l00263" > < / a > < span class = "lineno" > 263< / span >   codes-> resize(codes-> size() + counts.second * < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a319568b832518392fed33ea4f8bfc613" > bytesPerVector_< / a > ,< / div >
< div class = "line" > < a name = "l00264" > < / a > < span class = "lineno" > 264< / span >   stream);< / div >
< div class = "line" > < a name = "l00265" > < / a > < span class = "lineno" > 265< / span >   < span class = "keywordtype" > int< / span > newNumVecs = (int) (codes-> size() / < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a319568b832518392fed33ea4f8bfc613" > bytesPerVector_< / a > );< / div >
< div class = "line" > < a name = "l00266" > < / a > < span class = "lineno" > 266< / span >   < / div >
< div class = "line" > < a name = "l00267" > < / a > < span class = "lineno" > 267< / span >   < span class = "keyword" > auto< / span > & indices = deviceListIndices_[counts.first];< / div >
< div class = "line" > < a name = "l00268" > < / a > < span class = "lineno" > 268< / span >   < span class = "keywordflow" > if< / span > ((< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#afb6d10e23d6448c10f472b9234e0bcab" > indicesOptions_< / a > == INDICES_32_BIT) ||< / div >
< div class = "line" > < a name = "l00269" > < / a > < span class = "lineno" > 269< / span >   (< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#afb6d10e23d6448c10f472b9234e0bcab" > indicesOptions_< / a > == INDICES_64_BIT)) {< / div >
< div class = "line" > < a name = "l00270" > < / a > < span class = "lineno" > 270< / span >   < span class = "keywordtype" > size_t< / span > indexSize =< / div >
< div class = "line" > < a name = "l00271" > < / a > < span class = "lineno" > 271< / span >   (< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#afb6d10e23d6448c10f472b9234e0bcab" > indicesOptions_< / a > == INDICES_32_BIT) ? < span class = "keyword" > sizeof< / span > (< span class = "keywordtype" > int< / span > ) : < span class = "keyword" > sizeof< / span > (long);< / div >
< div class = "line" > < a name = "l00272" > < / a > < span class = "lineno" > 272< / span >   < / div >
< div class = "line" > < a name = "l00273" > < / a > < span class = "lineno" > 273< / span >   indices-> resize(indices-> size() + counts.second * indexSize, stream);< / div >
< div class = "line" > < a name = "l00274" > < / a > < span class = "lineno" > 274< / span >   } < span class = "keywordflow" > else< / span > < span class = "keywordflow" > if< / span > (< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#afb6d10e23d6448c10f472b9234e0bcab" > indicesOptions_< / a > == INDICES_CPU) {< / div >
< div class = "line" > < a name = "l00275" > < / a > < span class = "lineno" > 275< / span >   < span class = "comment" > // indices are stored on the CPU side< / span > < / div >
< div class = "line" > < a name = "l00276" > < / a > < span class = "lineno" > 276< / span >   FAISS_ASSERT(counts.first < < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a53f3c382a79b7f89630a85dfbc3a1fed" > listOffsetToUserIndex_< / a > .size());< / div >
< div class = "line" > < a name = "l00277" > < / a > < span class = "lineno" > 277< / span >   < / div >
< div class = "line" > < a name = "l00278" > < / a > < span class = "lineno" > 278< / span >   < span class = "keyword" > auto< / span > & userIndices = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a53f3c382a79b7f89630a85dfbc3a1fed" > listOffsetToUserIndex_< / a > [counts.first];< / div >
< div class = "line" > < a name = "l00279" > < / a > < span class = "lineno" > 279< / span >   userIndices.resize(newNumVecs);< / div >
< div class = "line" > < a name = "l00280" > < / a > < span class = "lineno" > 280< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00281" > < / a > < span class = "lineno" > 281< / span >   < span class = "comment" > // indices are not stored on the GPU or CPU side< / span > < / div >
< div class = "line" > < a name = "l00282" > < / a > < span class = "lineno" > 282< / span >   FAISS_ASSERT(< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#afb6d10e23d6448c10f472b9234e0bcab" > indicesOptions_< / a > == INDICES_IVF);< / div >
< div class = "line" > < a name = "l00283" > < / a > < span class = "lineno" > 283< / span >   }< / div >
< div class = "line" > < a name = "l00284" > < / a > < span class = "lineno" > 284< / span >   < / div >
< div class = "line" > < a name = "l00285" > < / a > < span class = "lineno" > 285< / span >   < span class = "comment" > // This is used by the multi-pass query to decide how much scratch< / span > < / div >
< div class = "line" > < a name = "l00286" > < / a > < span class = "lineno" > 286< / span >   < span class = "comment" > // space to allocate for intermediate results< / span > < / div >
< div class = "line" > < a name = "l00287" > < / a > < span class = "lineno" > 287< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#ae25ea0901fb628844868413f51c85bda" > maxListLength_< / a > = std::max(< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#ae25ea0901fb628844868413f51c85bda" > maxListLength_< / a > , newNumVecs);< / div >
< div class = "line" > < a name = "l00288" > < / a > < span class = "lineno" > 288< / span >   }< / div >
< div class = "line" > < a name = "l00289" > < / a > < span class = "lineno" > 289< / span >   < / div >
< div class = "line" > < a name = "l00290" > < / a > < span class = "lineno" > 290< / span >   < span class = "comment" > // Update all pointers and sizes on the device for lists that we< / span > < / div >
< div class = "line" > < a name = "l00291" > < / a > < span class = "lineno" > 291< / span >   < span class = "comment" > // appended to< / span > < / div >
< div class = "line" > < a name = "l00292" > < / a > < span class = "lineno" > 292< / span >   {< / div >
< div class = "line" > < a name = "l00293" > < / a > < span class = "lineno" > 293< / span >   std::vector< int> listIds(assignCounts.size());< / div >
< div class = "line" > < a name = "l00294" > < / a > < span class = "lineno" > 294< / span >   < span class = "keywordtype" > int< / span > i = 0;< / div >
< div class = "line" > < a name = "l00295" > < / a > < span class = "lineno" > 295< / span >   < span class = "keywordflow" > for< / span > (< span class = "keyword" > auto< / span > & counts : assignCounts) {< / div >
< div class = "line" > < a name = "l00296" > < / a > < span class = "lineno" > 296< / span >   listIds[i++] = counts.first;< / div >
< div class = "line" > < a name = "l00297" > < / a > < span class = "lineno" > 297< / span >   }< / div >
< div class = "line" > < a name = "l00298" > < / a > < span class = "lineno" > 298< / span >   < / div >
< div class = "line" > < a name = "l00299" > < / a > < span class = "lineno" > 299< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#acc695610c9513952b8d234dc0db78e5c" > updateDeviceListInfo_< / a > (listIds, stream);< / div >
< div class = "line" > < a name = "l00300" > < / a > < span class = "lineno" > 300< / span >   }< / div >
< div class = "line" > < a name = "l00301" > < / a > < span class = "lineno" > 301< / span >   }< / div >
< div class = "line" > < a name = "l00302" > < / a > < span class = "lineno" > 302< / span >   < / div >
< div class = "line" > < a name = "l00303" > < / a > < span class = "lineno" > 303< / span >   < span class = "comment" > // If we' re maintaining the indices on the CPU side, update our< / span > < / div >
< div class = "line" > < a name = "l00304" > < / a > < span class = "lineno" > 304< / span >   < span class = "comment" > // map. We already resized our map above.< / span > < / div >
< div class = "line" > < a name = "l00305" > < / a > < span class = "lineno" > 305< / span >   < span class = "keywordflow" > if< / span > (< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#afb6d10e23d6448c10f472b9234e0bcab" > indicesOptions_< / a > == INDICES_CPU) {< / div >
< div class = "line" > < a name = "l00306" > < / a > < span class = "lineno" > 306< / span >   < span class = "comment" > // We need to maintain the indices on the CPU side< / span > < / div >
< div class = "line" > < a name = "l00307" > < / a > < span class = "lineno" > 307< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html" > HostTensor< long, 1, true> < / a > hostIndices(indices, stream);< / div >
< div class = "line" > < a name = "l00308" > < / a > < span class = "lineno" > 308< / span >   < / div >
< div class = "line" > < a name = "l00309" > < / a > < span class = "lineno" > 309< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < hostIndices.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0); ++i) {< / div >
< div class = "line" > < a name = "l00310" > < / a > < span class = "lineno" > 310< / span >   < span class = "keywordtype" > int< / span > listId = listIdsHost[i];< / div >
< div class = "line" > < a name = "l00311" > < / a > < span class = "lineno" > 311< / span >   < / div >
< div class = "line" > < a name = "l00312" > < / a > < span class = "lineno" > 312< / span >   < span class = "comment" > // Add vector could be invalid (contains NaNs etc)< / span > < / div >
< div class = "line" > < a name = "l00313" > < / a > < span class = "lineno" > 313< / span >   < span class = "keywordflow" > if< / span > (listId < 0) {< / div >
< div class = "line" > < a name = "l00314" > < / a > < span class = "lineno" > 314< / span >   < span class = "keywordflow" > continue< / span > ;< / div >
< div class = "line" > < a name = "l00315" > < / a > < span class = "lineno" > 315< / span >   }< / div >
< div class = "line" > < a name = "l00316" > < / a > < span class = "lineno" > 316< / span >   < / div >
< div class = "line" > < a name = "l00317" > < / a > < span class = "lineno" > 317< / span >   < span class = "keywordtype" > int< / span > offset = listOffsetHost[i];< / div >
< div class = "line" > < a name = "l00318" > < / a > < span class = "lineno" > 318< / span >   < / div >
< div class = "line" > < a name = "l00319" > < / a > < span class = "lineno" > 319< / span >   FAISS_ASSERT(listId < < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a53f3c382a79b7f89630a85dfbc3a1fed" > listOffsetToUserIndex_< / a > .size());< / div >
< div class = "line" > < a name = "l00320" > < / a > < span class = "lineno" > 320< / span >   < span class = "keyword" > auto< / span > & userIndices = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a53f3c382a79b7f89630a85dfbc3a1fed" > listOffsetToUserIndex_< / a > [listId];< / div >
< div class = "line" > < a name = "l00321" > < / a > < span class = "lineno" > 321< / span >   < / div >
< div class = "line" > < a name = "l00322" > < / a > < span class = "lineno" > 322< / span >   FAISS_ASSERT(offset < userIndices.size());< / div >
< div class = "line" > < a name = "l00323" > < / a > < span class = "lineno" > 323< / span >   userIndices[offset] = hostIndices[i];< / div >
< div class = "line" > < a name = "l00324" > < / a > < span class = "lineno" > 324< / span >   }< / div >
< div class = "line" > < a name = "l00325" > < / a > < span class = "lineno" > 325< / span >   }< / div >
< div class = "line" > < a name = "l00326" > < / a > < span class = "lineno" > 326< / span >   < / div >
< div class = "line" > < a name = "l00327" > < / a > < span class = "lineno" > 327< / span >   < span class = "comment" > // We similarly need to actually append the new encoded vectors< / span > < / div >
< div class = "line" > < a name = "l00328" > < / a > < span class = "lineno" > 328< / span >   {< / div >
< div class = "line" > < a name = "l00329" > < / a > < span class = "lineno" > 329< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< int, 1, true> < / a > listOffset(mem, listOffsetHost, stream);< / div >
< div class = "line" > < a name = "l00330" > < / a > < span class = "lineno" > 330< / span >   < / div >
< div class = "line" > < a name = "l00331" > < / a > < span class = "lineno" > 331< / span >   < span class = "comment" > // This kernel will handle appending each encoded vector + index to< / span > < / div >
< div class = "line" > < a name = "l00332" > < / a > < span class = "lineno" > 332< / span >   < span class = "comment" > // the appropriate list< / span > < / div >
< div class = "line" > < a name = "l00333" > < / a > < span class = "lineno" > 333< / span >   runIVFPQInvertedListAppend(listIds,< / div >
< div class = "line" > < a name = "l00334" > < / a > < span class = "lineno" > 334< / span >   listOffset,< / div >
< div class = "line" > < a name = "l00335" > < / a > < span class = "lineno" > 335< / span >   encodings,< / div >
< div class = "line" > < a name = "l00336" > < / a > < span class = "lineno" > 336< / span >   indices,< / div >
< div class = "line" > < a name = "l00337" > < / a > < span class = "lineno" > 337< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a96240a08b42bd1913e2286d7d514fc56" > deviceListDataPointers_< / a > ,< / div >
< div class = "line" > < a name = "l00338" > < / a > < span class = "lineno" > 338< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a9aedcf0e6a20b908980ae96d73461f4c" > deviceListIndexPointers_< / a > ,< / div >
< div class = "line" > < a name = "l00339" > < / a > < span class = "lineno" > 339< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#afb6d10e23d6448c10f472b9234e0bcab" > indicesOptions_< / a > ,< / div >
< div class = "line" > < a name = "l00340" > < / a > < span class = "lineno" > 340< / span >   stream);< / div >
< div class = "line" > < a name = "l00341" > < / a > < span class = "lineno" > 341< / span >   }< / div >
< div class = "line" > < a name = "l00342" > < / a > < span class = "lineno" > 342< / span >   < / div >
< div class = "line" > < a name = "l00343" > < / a > < span class = "lineno" > 343< / span >   < span class = "keywordflow" > return< / span > numAdded;< / div >
< div class = "line" > < a name = "l00344" > < / a > < span class = "lineno" > 344< / span >   }< / div >
< div class = "line" > < a name = "l00345" > < / a > < span class = "lineno" > 345< / span >   < / div >
< div class = "line" > < a name = "l00346" > < / a > < span class = "lineno" > 346< / span >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00347" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1IVFPQ.html#a9992b38226dc8f92ca2691582fabb675" > 347< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFPQ.html#a9992b38226dc8f92ca2691582fabb675" > IVFPQ::addCodeVectorsFromCpu< / a > (< span class = "keywordtype" > int< / span > listId,< / div >
< div class = "line" > < a name = "l00348" > < / a > < span class = "lineno" > 348< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > void< / span > * codes,< / div >
< div class = "line" > < a name = "l00349" > < / a > < span class = "lineno" > 349< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > long< / span > * indices,< / div >
< div class = "line" > < a name = "l00350" > < / a > < span class = "lineno" > 350< / span >   < span class = "keywordtype" > size_t< / span > numVecs) {< / div >
< div class = "line" > < a name = "l00351" > < / a > < span class = "lineno" > 351< / span >   < span class = "comment" > // This list must already exist< / span > < / div >
< div class = "line" > < a name = "l00352" > < / a > < span class = "lineno" > 352< / span >   FAISS_ASSERT(listId < < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a2facc7285107de1f24d3471cbcf15f26" > deviceListData_< / a > .size());< / div >
< div class = "line" > < a name = "l00353" > < / a > < span class = "lineno" > 353< / span >   < span class = "keyword" > auto< / span > stream = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice();< / div >
< div class = "line" > < a name = "l00354" > < / a > < span class = "lineno" > 354< / span >   < / div >
< div class = "line" > < a name = "l00355" > < / a > < span class = "lineno" > 355< / span >   < span class = "comment" > // If there' s nothing to add, then there' s nothing we have to do< / span > < / div >
< div class = "line" > < a name = "l00356" > < / a > < span class = "lineno" > 356< / span >   < span class = "keywordflow" > if< / span > (numVecs == 0) {< / div >
< div class = "line" > < a name = "l00357" > < / a > < span class = "lineno" > 357< / span >   < span class = "keywordflow" > return< / span > ;< / div >
< div class = "line" > < a name = "l00358" > < / a > < span class = "lineno" > 358< / span >   }< / div >
< div class = "line" > < a name = "l00359" > < / a > < span class = "lineno" > 359< / span >   < / div >
< div class = "line" > < a name = "l00360" > < / a > < span class = "lineno" > 360< / span >   < span class = "keywordtype" > size_t< / span > lengthInBytes = numVecs * < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a319568b832518392fed33ea4f8bfc613" > bytesPerVector_< / a > ;< / div >
< div class = "line" > < a name = "l00361" > < / a > < span class = "lineno" > 361< / span >   < / div >
< div class = "line" > < a name = "l00362" > < / a > < span class = "lineno" > 362< / span >   < span class = "keyword" > auto< / span > & listCodes = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a2facc7285107de1f24d3471cbcf15f26" > deviceListData_< / a > [listId];< / div >
< div class = "line" > < a name = "l00363" > < / a > < span class = "lineno" > 363< / span >   < span class = "keyword" > auto< / span > prevCodeData = listCodes-> data();< / div >
< div class = "line" > < a name = "l00364" > < / a > < span class = "lineno" > 364< / span >   < / div >
< div class = "line" > < a name = "l00365" > < / a > < span class = "lineno" > 365< / span >   < span class = "comment" > // We only have int32 length representations on the GPU per each< / span > < / div >
< div class = "line" > < a name = "l00366" > < / a > < span class = "lineno" > 366< / span >   < span class = "comment" > // list; the length is in sizeof(char)< / span > < / div >
< div class = "line" > < a name = "l00367" > < / a > < span class = "lineno" > 367< / span >   FAISS_ASSERT(listCodes-> size() % bytesPerVector_ == 0);< / div >
< div class = "line" > < a name = "l00368" > < / a > < span class = "lineno" > 368< / span >   FAISS_ASSERT(listCodes-> size() + lengthInBytes < =< / div >
< div class = "line" > < a name = "l00369" > < / a > < span class = "lineno" > 369< / span >   (size_t) std::numeric_limits< int> ::max());< / div >
< div class = "line" > < a name = "l00370" > < / a > < span class = "lineno" > 370< / span >   < / div >
< div class = "line" > < a name = "l00371" > < / a > < span class = "lineno" > 371< / span >   listCodes-> append((< span class = "keywordtype" > unsigned< / span > < span class = "keywordtype" > char< / span > *) codes,< / div >
< div class = "line" > < a name = "l00372" > < / a > < span class = "lineno" > 372< / span >   lengthInBytes,< / div >
< div class = "line" > < a name = "l00373" > < / a > < span class = "lineno" > 373< / span >   stream,< / div >
< div class = "line" > < a name = "l00374" > < / a > < span class = "lineno" > 374< / span >   < span class = "keyword" > true< / span > < span class = "comment" > /* exact reserved size */< / span > );< / div >
< div class = "line" > < a name = "l00375" > < / a > < span class = "lineno" > 375< / span >   < / div >
< div class = "line" > < a name = "l00376" > < / a > < span class = "lineno" > 376< / span >   < span class = "comment" > // Handle the indices as well< / span > < / div >
< div class = "line" > < a name = "l00377" > < / a > < span class = "lineno" > 377< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a5027720549de98f4e609d6339099df35" > addIndicesFromCpu_< / a > (listId, indices, numVecs);< / div >
< div class = "line" > < a name = "l00378" > < / a > < span class = "lineno" > 378< / span >   < / div >
< div class = "line" > < a name = "l00379" > < / a > < span class = "lineno" > 379< / span >   < span class = "comment" > // This list address may have changed due to vector resizing, but< / span > < / div >
< div class = "line" > < a name = "l00380" > < / a > < span class = "lineno" > 380< / span >   < span class = "comment" > // only bother updating it on the device if it has changed< / span > < / div >
< div class = "line" > < a name = "l00381" > < / a > < span class = "lineno" > 381< / span >   < span class = "keywordflow" > if< / span > (prevCodeData != listCodes-> data()) {< / div >
< div class = "line" > < a name = "l00382" > < / a > < span class = "lineno" > 382< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a96240a08b42bd1913e2286d7d514fc56" > deviceListDataPointers_< / a > [listId] = listCodes-> data();< / div >
< div class = "line" > < a name = "l00383" > < / a > < span class = "lineno" > 383< / span >   }< / div >
< div class = "line" > < a name = "l00384" > < / a > < span class = "lineno" > 384< / span >   < / div >
< div class = "line" > < a name = "l00385" > < / a > < span class = "lineno" > 385< / span >   < span class = "comment" > // And our size has changed too< / span > < / div >
< div class = "line" > < a name = "l00386" > < / a > < span class = "lineno" > 386< / span >   < span class = "keywordtype" > int< / span > listLength = listCodes-> size() / < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a319568b832518392fed33ea4f8bfc613" > bytesPerVector_< / a > ;< / div >
< div class = "line" > < a name = "l00387" > < / a > < span class = "lineno" > 387< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a3a1c2031a4763f7d55bc8a400c63af66" > deviceListLengths_< / a > [listId] = listLength;< / div >
< div class = "line" > < a name = "l00388" > < / a > < span class = "lineno" > 388< / span >   < / div >
< div class = "line" > < a name = "l00389" > < / a > < span class = "lineno" > 389< / span >   < span class = "comment" > // We update this as well, since the multi-pass algorithm uses it< / span > < / div >
< div class = "line" > < a name = "l00390" > < / a > < span class = "lineno" > 390< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#ae25ea0901fb628844868413f51c85bda" > maxListLength_< / a > = std::max(< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#ae25ea0901fb628844868413f51c85bda" > maxListLength_< / a > , listLength);< / div >
< div class = "line" > < a name = "l00391" > < / a > < span class = "lineno" > 391< / span >   < / div >
< div class = "line" > < a name = "l00392" > < / a > < span class = "lineno" > 392< / span >   < span class = "comment" > // device_vector add is potentially happening on a different stream< / span > < / div >
< div class = "line" > < a name = "l00393" > < / a > < span class = "lineno" > 393< / span >   < span class = "comment" > // than our default stream< / span > < / div >
< div class = "line" > < a name = "l00394" > < / a > < span class = "lineno" > 394< / span >   < span class = "keywordflow" > if< / span > (< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice() != 0) {< / div >
< div class = "line" > < a name = "l00395" > < / a > < span class = "lineno" > 395< / span >   streamWait({stream}, {0});< / div >
< div class = "line" > < a name = "l00396" > < / a > < span class = "lineno" > 396< / span >   }< / div >
< div class = "line" > < a name = "l00397" > < / a > < span class = "lineno" > 397< / span >   }< / div >
< div class = "line" > < a name = "l00398" > < / a > < span class = "lineno" > 398< / span >   < / div >
< div class = "line" > < a name = "l00399" > < / a > < span class = "lineno" > 399< / span >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00400" > < / a > < span class = "lineno" > 400< / span >   IVFPQ::setPQCentroids_(< span class = "keywordtype" > float< / span > * data) {< / div >
< div class = "line" > < a name = "l00401" > < / a > < span class = "lineno" > 401< / span >   < span class = "keywordtype" > size_t< / span > pqSize =< / div >
< div class = "line" > < a name = "l00402" > < / a > < span class = "lineno" > 402< / span >   numSubQuantizers_ * numSubQuantizerCodes_ * dimPerSubQuantizer_;< / div >
< div class = "line" > < a name = "l00403" > < / a > < span class = "lineno" > 403< / span >   < / div >
< div class = "line" > < a name = "l00404" > < / a > < span class = "lineno" > 404< / span >   < span class = "comment" > // Make sure the data is on the host< / span > < / div >
< div class = "line" > < a name = "l00405" > < / a > < span class = "lineno" > 405< / span >   < span class = "comment" > // FIXME: why are we doing this?< / span > < / div >
< div class = "line" > < a name = "l00406" > < / a > < span class = "lineno" > 406< / span >   thrust::host_vector< float> hostMemory;< / div >
< div class = "line" > < a name = "l00407" > < / a > < span class = "lineno" > 407< / span >   hostMemory.insert(hostMemory.end(), data, data + pqSize);< / div >
< div class = "line" > < a name = "l00408" > < / a > < span class = "lineno" > 408< / span >   < / div >
< div class = "line" > < a name = "l00409" > < / a > < span class = "lineno" > 409< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html" > HostTensor< float, 3, true> < / a > pqHost(< / div >
< div class = "line" > < a name = "l00410" > < / a > < span class = "lineno" > 410< / span >   hostMemory.data(),< / div >
< div class = "line" > < a name = "l00411" > < / a > < span class = "lineno" > 411< / span >   {numSubQuantizers_, numSubQuantizerCodes_, dimPerSubQuantizer_});< / div >
< div class = "line" > < a name = "l00412" > < / a > < span class = "lineno" > 412< / span >   DeviceTensor< float, 3, true> pqDevice(< / div >
< div class = "line" > < a name = "l00413" > < / a > < span class = "lineno" > 413< / span >   pqHost,< / div >
< div class = "line" > < a name = "l00414" > < / a > < span class = "lineno" > 414< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice());< / div >
< div class = "line" > < a name = "l00415" > < / a > < span class = "lineno" > 415< / span >   < / div >
< div class = "line" > < a name = "l00416" > < / a > < span class = "lineno" > 416< / span >   DeviceTensor< float, 3, true> pqDeviceTranspose(< / div >
< div class = "line" > < a name = "l00417" > < / a > < span class = "lineno" > 417< / span >   {numSubQuantizers_, dimPerSubQuantizer_, numSubQuantizerCodes_});< / div >
< div class = "line" > < a name = "l00418" > < / a > < span class = "lineno" > 418< / span >   runTransposeAny(pqDevice, 1, 2, pqDeviceTranspose,< / div >
< div class = "line" > < a name = "l00419" > < / a > < span class = "lineno" > 419< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice());< / div >
< div class = "line" > < a name = "l00420" > < / a > < span class = "lineno" > 420< / span >   < / div >
< div class = "line" > < a name = "l00421" > < / a > < span class = "lineno" > 421< / span >   pqCentroidsInnermostCode_ = std::move(pqDeviceTranspose);< / div >
< div class = "line" > < a name = "l00422" > < / a > < span class = "lineno" > 422< / span >   < / div >
< div class = "line" > < a name = "l00423" > < / a > < span class = "lineno" > 423< / span >   < span class = "comment" > // Also maintain the PQ centroids in the form< / span > < / div >
< div class = "line" > < a name = "l00424" > < / a > < span class = "lineno" > 424< / span >   < span class = "comment" > // (sub q)(code id)(sub dim)< / span > < / div >
< div class = "line" > < a name = "l00425" > < / a > < span class = "lineno" > 425< / span >   DeviceTensor< float, 3, true> pqCentroidsMiddleCode(< / div >
< div class = "line" > < a name = "l00426" > < / a > < span class = "lineno" > 426< / span >   {numSubQuantizers_, numSubQuantizerCodes_, dimPerSubQuantizer_});< / div >
< div class = "line" > < a name = "l00427" > < / a > < span class = "lineno" > 427< / span >   runTransposeAny(pqCentroidsInnermostCode_, 1, 2, pqCentroidsMiddleCode,< / div >
< div class = "line" > < a name = "l00428" > < / a > < span class = "lineno" > 428< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice());< / div >
< div class = "line" > < a name = "l00429" > < / a > < span class = "lineno" > 429< / span >   < / div >
< div class = "line" > < a name = "l00430" > < / a > < span class = "lineno" > 430< / span >   pqCentroidsMiddleCode_ = std::move(pqCentroidsMiddleCode);< / div >
< div class = "line" > < a name = "l00431" > < / a > < span class = "lineno" > 431< / span >   }< / div >
< div class = "line" > < a name = "l00432" > < / a > < span class = "lineno" > 432< / span >   < / div >
< div class = "line" > < a name = "l00433" > < / a > < span class = "lineno" > 433< / span >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00434" > < / a > < span class = "lineno" > 434< / span >   IVFPQ::precomputeCodes_() {< / div >
< div class = "line" > < a name = "l00435" > < / a > < span class = "lineno" > 435< / span >   < span class = "comment" > //< / span > < / div >
< div class = "line" > < a name = "l00436" > < / a > < span class = "lineno" > 436< / span >   < span class = "comment" > // d = || x - y_C ||^2 + || y_R ||^2 + 2 * (y_C|y_R) - 2 * (x|y_R)< / span > < / div >
< div class = "line" > < a name = "l00437" > < / a > < span class = "lineno" > 437< / span >   < span class = "comment" > // --------------- --------------------------- -------< / span > < / div >
< div class = "line" > < a name = "l00438" > < / a > < span class = "lineno" > 438< / span >   < span class = "comment" > // term 1 term 2 term 3< / span > < / div >
< div class = "line" > < a name = "l00439" > < / a > < span class = "lineno" > 439< / span >   < span class = "comment" > //< / span > < / div >
< div class = "line" > < a name = "l00440" > < / a > < span class = "lineno" > 440< / span >   < / div >
< div class = "line" > < a name = "l00441" > < / a > < span class = "lineno" > 441< / span >   < span class = "comment" > // Terms 1 and 3 are available only at query time. We compute term 2< / span > < / div >
< div class = "line" > < a name = "l00442" > < / a > < span class = "lineno" > 442< / span >   < span class = "comment" > // here.< / span > < / div >
< div class = "line" > < a name = "l00443" > < / a > < span class = "lineno" > 443< / span >   FAISS_ASSERT(!< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a878114abdba07c9cf7735f9c0ed594c3" > quantizer_< / a > -> getUseFloat16());< / div >
< div class = "line" > < a name = "l00444" > < / a > < span class = "lineno" > 444< / span >   < span class = "keyword" > auto< / span > & coarseCentroids = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a878114abdba07c9cf7735f9c0ed594c3" > quantizer_< / a > -> < a class = "code" href = "classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06" > getVectorsFloat32Ref< / a > ();< / div >
< div class = "line" > < a name = "l00445" > < / a > < span class = "lineno" > 445< / span >   < / div >
< div class = "line" > < a name = "l00446" > < / a > < span class = "lineno" > 446< / span >   < span class = "comment" > // Compute ||y_R||^2 by treating< / span > < / div >
< div class = "line" > < a name = "l00447" > < / a > < span class = "lineno" > 447< / span >   < span class = "comment" > // (sub q)(code id)(sub dim) as (sub q * code id)(sub dim)< / span > < / div >
< div class = "line" > < a name = "l00448" > < / a > < span class = "lineno" > 448< / span >   < span class = "keyword" > auto< / span > pqCentroidsMiddleCodeView =< / div >
< div class = "line" > < a name = "l00449" > < / a > < span class = "lineno" > 449< / span >   pqCentroidsMiddleCode_.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a3095eaec5711fe697c16c21598a8ddc1" > view< / a > < 2> (< / div >
< div class = "line" > < a name = "l00450" > < / a > < span class = "lineno" > 450< / span >   {numSubQuantizers_ * numSubQuantizerCodes_, dimPerSubQuantizer_});< / div >
< div class = "line" > < a name = "l00451" > < / a > < span class = "lineno" > 451< / span >   DeviceTensor< float, 1, true> subQuantizerNorms(< / div >
< div class = "line" > < a name = "l00452" > < / a > < span class = "lineno" > 452< / span >   {numSubQuantizers_ * numSubQuantizerCodes_});< / div >
< div class = "line" > < a name = "l00453" > < / a > < span class = "lineno" > 453< / span >   < / div >
< div class = "line" > < a name = "l00454" > < / a > < span class = "lineno" > 454< / span >   runL2Norm(pqCentroidsMiddleCodeView, subQuantizerNorms, < span class = "keyword" > true< / span > ,< / div >
< div class = "line" > < a name = "l00455" > < / a > < span class = "lineno" > 455< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice());< / div >
< div class = "line" > < a name = "l00456" > < / a > < span class = "lineno" > 456< / span >   < / div >
< div class = "line" > < a name = "l00457" > < / a > < span class = "lineno" > 457< / span >   < span class = "comment" > // Compute 2 * (y_C|y_R) via batch matrix multiplication< / span > < / div >
< div class = "line" > < a name = "l00458" > < / a > < span class = "lineno" > 458< / span >   < span class = "comment" > // batch size (sub q) x {(centroid id)(sub dim) x (code id)(sub dim)' }< / span > < / div >
< div class = "line" > < a name = "l00459" > < / a > < span class = "lineno" > 459< / span >   < span class = "comment" > // => (sub q) x {(centroid id)(code id)}< / span > < / div >
< div class = "line" > < a name = "l00460" > < / a > < span class = "lineno" > 460< / span >   < span class = "comment" > // => (sub q)(centroid id)(code id)< / span > < / div >
< div class = "line" > < a name = "l00461" > < / a > < span class = "lineno" > 461< / span >   < / div >
< div class = "line" > < a name = "l00462" > < / a > < span class = "lineno" > 462< / span >   < span class = "comment" > // View (centroid id)(dim) as< / span > < / div >
< div class = "line" > < a name = "l00463" > < / a > < span class = "lineno" > 463< / span >   < span class = "comment" > // (centroid id)(sub q)(dim)< / span > < / div >
< div class = "line" > < a name = "l00464" > < / a > < span class = "lineno" > 464< / span >   < span class = "comment" > // Transpose (centroid id)(sub q)(sub dim) to< / span > < / div >
< div class = "line" > < a name = "l00465" > < / a > < span class = "lineno" > 465< / span >   < span class = "comment" > // (sub q)(centroid id)(sub dim)< / span > < / div >
< div class = "line" > < a name = "l00466" > < / a > < span class = "lineno" > 466< / span >   < span class = "keyword" > auto< / span > centroidView = coarseCentroids.view< 3> (< / div >
< div class = "line" > < a name = "l00467" > < / a > < span class = "lineno" > 467< / span >   {coarseCentroids.getSize(0), numSubQuantizers_, dimPerSubQuantizer_});< / div >
< div class = "line" > < a name = "l00468" > < / a > < span class = "lineno" > 468< / span >   DeviceTensor< float, 3, true> centroidsTransposed(< / div >
< div class = "line" > < a name = "l00469" > < / a > < span class = "lineno" > 469< / span >   {numSubQuantizers_, coarseCentroids.getSize(0), dimPerSubQuantizer_});< / div >
< div class = "line" > < a name = "l00470" > < / a > < span class = "lineno" > 470< / span >   < / div >
< div class = "line" > < a name = "l00471" > < / a > < span class = "lineno" > 471< / span >   runTransposeAny(centroidView, 0, 1, centroidsTransposed,< / div >
< div class = "line" > < a name = "l00472" > < / a > < span class = "lineno" > 472< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice());< / div >
< div class = "line" > < a name = "l00473" > < / a > < span class = "lineno" > 473< / span >   < / div >
< div class = "line" > < a name = "l00474" > < / a > < span class = "lineno" > 474< / span >   DeviceTensor< float, 3, true> coarsePQProduct(< / div >
< div class = "line" > < a name = "l00475" > < / a > < span class = "lineno" > 475< / span >   {numSubQuantizers_, coarseCentroids.getSize(0), numSubQuantizerCodes_});< / div >
< div class = "line" > < a name = "l00476" > < / a > < span class = "lineno" > 476< / span >   < / div >
< div class = "line" > < a name = "l00477" > < / a > < span class = "lineno" > 477< / span >   runIteratedMatrixMult(coarsePQProduct, < span class = "keyword" > false< / span > ,< / div >
< div class = "line" > < a name = "l00478" > < / a > < span class = "lineno" > 478< / span >   centroidsTransposed, < span class = "keyword" > false< / span > ,< / div >
< div class = "line" > < a name = "l00479" > < / a > < span class = "lineno" > 479< / span >   pqCentroidsMiddleCode_, < span class = "keyword" > true< / span > ,< / div >
< div class = "line" > < a name = "l00480" > < / a > < span class = "lineno" > 480< / span >   2.0f, 0.0f,< / div >
< div class = "line" > < a name = "l00481" > < / a > < span class = "lineno" > 481< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getBlasHandleCurrentDevice(),< / div >
< div class = "line" > < a name = "l00482" > < / a > < span class = "lineno" > 482< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice());< / div >
< div class = "line" > < a name = "l00483" > < / a > < span class = "lineno" > 483< / span >   < / div >
< div class = "line" > < a name = "l00484" > < / a > < span class = "lineno" > 484< / span >   < span class = "comment" > // Transpose (sub q)(centroid id)(code id) to< / span > < / div >
< div class = "line" > < a name = "l00485" > < / a > < span class = "lineno" > 485< / span >   < span class = "comment" > // (centroid id)(sub q)(code id)< / span > < / div >
< div class = "line" > < a name = "l00486" > < / a > < span class = "lineno" > 486< / span >   DeviceTensor< float, 3, true> coarsePQProductTransposed(< / div >
< div class = "line" > < a name = "l00487" > < / a > < span class = "lineno" > 487< / span >   {coarseCentroids.getSize(0), numSubQuantizers_, numSubQuantizerCodes_});< / div >
< div class = "line" > < a name = "l00488" > < / a > < span class = "lineno" > 488< / span >   runTransposeAny(coarsePQProduct, 0, 1, coarsePQProductTransposed,< / div >
< div class = "line" > < a name = "l00489" > < / a > < span class = "lineno" > 489< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice());< / div >
< div class = "line" > < a name = "l00490" > < / a > < span class = "lineno" > 490< / span >   < / div >
< div class = "line" > < a name = "l00491" > < / a > < span class = "lineno" > 491< / span >   < span class = "comment" > // View (centroid id)(sub q)(code id) as< / span > < / div >
< div class = "line" > < a name = "l00492" > < / a > < span class = "lineno" > 492< / span >   < span class = "comment" > // (centroid id)(sub q * code id)< / span > < / div >
< div class = "line" > < a name = "l00493" > < / a > < span class = "lineno" > 493< / span >   < span class = "keyword" > auto< / span > coarsePQProductTransposedView = coarsePQProductTransposed.view< 2> (< / div >
< div class = "line" > < a name = "l00494" > < / a > < span class = "lineno" > 494< / span >   {coarseCentroids.getSize(0), numSubQuantizers_ * numSubQuantizerCodes_});< / div >
< div class = "line" > < a name = "l00495" > < / a > < span class = "lineno" > 495< / span >   < / div >
< div class = "line" > < a name = "l00496" > < / a > < span class = "lineno" > 496< / span >   < span class = "comment" > // Sum || y_R ||^2 + 2 * (y_C|y_R)< / span > < / div >
< div class = "line" > < a name = "l00497" > < / a > < span class = "lineno" > 497< / span >   < span class = "comment" > // i.e., add norms (sub q * code id)< / span > < / div >
< div class = "line" > < a name = "l00498" > < / a > < span class = "lineno" > 498< / span >   < span class = "comment" > // along columns of inner product (centroid id)(sub q * code id)< / span > < / div >
< div class = "line" > < a name = "l00499" > < / a > < span class = "lineno" > 499< / span >   runSumAlongColumns(subQuantizerNorms, coarsePQProductTransposedView,< / div >
< div class = "line" > < a name = "l00500" > < / a > < span class = "lineno" > 500< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice());< / div >
< div class = "line" > < a name = "l00501" > < / a > < span class = "lineno" > 501< / span >   < / div >
< div class = "line" > < a name = "l00502" > < / a > < span class = "lineno" > 502< / span >   < span class = "preprocessor" > #ifdef FAISS_USE_FLOAT16< / span > < / div >
< div class = "line" > < a name = "l00503" > < / a > < span class = "lineno" > 503< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > if< / span > (useFloat16LookupTables_) {< / div >
< div class = "line" > < a name = "l00504" > < / a > < span class = "lineno" > 504< / span >   precomputedCodeHalf_ = toHalf(< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > ,< / div >
< div class = "line" > < a name = "l00505" > < / a > < span class = "lineno" > 505< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice(),< / div >
< div class = "line" > < a name = "l00506" > < / a > < span class = "lineno" > 506< / span >   coarsePQProductTransposed);< / div >
< div class = "line" > < a name = "l00507" > < / a > < span class = "lineno" > 507< / span >   < span class = "keywordflow" > return< / span > ;< / div >
< div class = "line" > < a name = "l00508" > < / a > < span class = "lineno" > 508< / span >   }< / div >
< div class = "line" > < a name = "l00509" > < / a > < span class = "lineno" > 509< / span >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00510" > < / a > < span class = "lineno" > 510< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00511" > < / a > < span class = "lineno" > 511< / span >   < span class = "comment" > // We added into the view, so `coarsePQProductTransposed` is now our< / span > < / div >
< div class = "line" > < a name = "l00512" > < / a > < span class = "lineno" > 512< / span >   < span class = "comment" > // precomputed term 2.< / span > < / div >
< div class = "line" > < a name = "l00513" > < / a > < span class = "lineno" > 513< / span >   precomputedCode_ = std::move(coarsePQProductTransposed);< / div >
< div class = "line" > < a name = "l00514" > < / a > < span class = "lineno" > 514< / span >   }< / div >
< div class = "line" > < a name = "l00515" > < / a > < span class = "lineno" > 515< / span >   < / div >
< div class = "line" > < a name = "l00516" > < / a > < span class = "lineno" > 516< / span >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00517" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1IVFPQ.html#ab0c458aab9a3d903f31b0e63ce16e623" > 517< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFPQ.html#ab0c458aab9a3d903f31b0e63ce16e623" > IVFPQ::query< / a > (< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< float, 2, true> < / a > & queries,< / div >
< div class = "line" > < a name = "l00518" > < / a > < span class = "lineno" > 518< / span >   < span class = "keywordtype" > int< / span > nprobe,< / div >
< div class = "line" > < a name = "l00519" > < / a > < span class = "lineno" > 519< / span >   < span class = "keywordtype" > int< / span > k,< / div >
< div class = "line" > < a name = "l00520" > < / a > < span class = "lineno" > 520< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< float, 2, true> < / a > & outDistances,< / div >
< div class = "line" > < a name = "l00521" > < / a > < span class = "lineno" > 521< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< long, 2, true> < / a > & outIndices) {< / div >
< div class = "line" > < a name = "l00522" > < / a > < span class = "lineno" > 522< / span >   < span class = "comment" > // Validate these at a top level< / span > < / div >
< div class = "line" > < a name = "l00523" > < / a > < span class = "lineno" > 523< / span >   FAISS_ASSERT(nprobe < = 1024);< / div >
< div class = "line" > < a name = "l00524" > < / a > < span class = "lineno" > 524< / span >   FAISS_ASSERT(k < = 1024);< / div >
< div class = "line" > < a name = "l00525" > < / a > < span class = "lineno" > 525< / span >   < / div >
< div class = "line" > < a name = "l00526" > < / a > < span class = "lineno" > 526< / span >   < span class = "keyword" > auto< / span > & mem = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getMemoryManagerCurrentDevice();< / div >
< div class = "line" > < a name = "l00527" > < / a > < span class = "lineno" > 527< / span >   < span class = "keyword" > auto< / span > stream = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice();< / div >
< div class = "line" > < a name = "l00528" > < / a > < span class = "lineno" > 528< / span >   nprobe = std::min(nprobe, < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a878114abdba07c9cf7735f9c0ed594c3" > quantizer_< / a > -> < a class = "code" href = "classfaiss_1_1gpu_1_1FlatIndex.html#a6988df17792dae30f24cc859728777e6" > getSize< / a > ());< / div >
< div class = "line" > < a name = "l00529" > < / a > < span class = "lineno" > 529< / span >   < / div >
< div class = "line" > < a name = "l00530" > < / a > < span class = "lineno" > 530< / span >   FAISS_ASSERT(queries.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (1) == < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#aba3e3cfa469e5187f2d553fff10e0250" > dim_< / a > );< / div >
< div class = "line" > < a name = "l00531" > < / a > < span class = "lineno" > 531< / span >   FAISS_ASSERT(outDistances.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0) == queries.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0));< / div >
< div class = "line" > < a name = "l00532" > < / a > < span class = "lineno" > 532< / span >   FAISS_ASSERT(outIndices.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0) == queries.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0));< / div >
< div class = "line" > < a name = "l00533" > < / a > < span class = "lineno" > 533< / span >   < / div >
< div class = "line" > < a name = "l00534" > < / a > < span class = "lineno" > 534< / span >   < span class = "comment" > // Reserve space for the closest coarse centroids< / span > < / div >
< div class = "line" > < a name = "l00535" > < / a > < span class = "lineno" > 535< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< float, 2, true> < / a > < / div >
< div class = "line" > < a name = "l00536" > < / a > < span class = "lineno" > 536< / span >   coarseDistances(mem, {queries.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0), nprobe}, stream);< / div >
< div class = "line" > < a name = "l00537" > < / a > < span class = "lineno" > 537< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< int, 2, true> < / a > < / div >
< div class = "line" > < a name = "l00538" > < / a > < span class = "lineno" > 538< / span >   coarseIndices(mem, {queries.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0), nprobe}, stream);< / div >
< div class = "line" > < a name = "l00539" > < / a > < span class = "lineno" > 539< / span >   < / div >
< div class = "line" > < a name = "l00540" > < / a > < span class = "lineno" > 540< / span >   < span class = "comment" > // Find the `nprobe` closest coarse centroids; we can use int< / span > < / div >
< div class = "line" > < a name = "l00541" > < / a > < span class = "lineno" > 541< / span >   < span class = "comment" > // indices both internally and externally< / span > < / div >
< div class = "line" > < a name = "l00542" > < / a > < span class = "lineno" > 542< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a878114abdba07c9cf7735f9c0ed594c3" > quantizer_< / a > -> query(queries,< / div >
< div class = "line" > < a name = "l00543" > < / a > < span class = "lineno" > 543< / span >   nprobe,< / div >
< div class = "line" > < a name = "l00544" > < / a > < span class = "lineno" > 544< / span >   coarseDistances,< / div >
< div class = "line" > < a name = "l00545" > < / a > < span class = "lineno" > 545< / span >   coarseIndices,< / div >
< div class = "line" > < a name = "l00546" > < / a > < span class = "lineno" > 546< / span >   < span class = "keyword" > true< / span > );< / div >
< div class = "line" > < a name = "l00547" > < / a > < span class = "lineno" > 547< / span >   < / div >
< div class = "line" > < a name = "l00548" > < / a > < span class = "lineno" > 548< / span >   < span class = "keywordflow" > if< / span > (precomputedCodes_) {< / div >
< div class = "line" > < a name = "l00549" > < / a > < span class = "lineno" > 549< / span >   runPQPrecomputedCodes_(queries,< / div >
< div class = "line" > < a name = "l00550" > < / a > < span class = "lineno" > 550< / span >   coarseDistances,< / div >
< div class = "line" > < a name = "l00551" > < / a > < span class = "lineno" > 551< / span >   coarseIndices,< / div >
< div class = "line" > < a name = "l00552" > < / a > < span class = "lineno" > 552< / span >   k,< / div >
< div class = "line" > < a name = "l00553" > < / a > < span class = "lineno" > 553< / span >   outDistances,< / div >
< div class = "line" > < a name = "l00554" > < / a > < span class = "lineno" > 554< / span >   outIndices);< / div >
< div class = "line" > < a name = "l00555" > < / a > < span class = "lineno" > 555< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00556" > < / a > < span class = "lineno" > 556< / span >   runPQNoPrecomputedCodes_(queries,< / div >
< div class = "line" > < a name = "l00557" > < / a > < span class = "lineno" > 557< / span >   coarseDistances,< / div >
< div class = "line" > < a name = "l00558" > < / a > < span class = "lineno" > 558< / span >   coarseIndices,< / div >
< div class = "line" > < a name = "l00559" > < / a > < span class = "lineno" > 559< / span >   k,< / div >
< div class = "line" > < a name = "l00560" > < / a > < span class = "lineno" > 560< / span >   outDistances,< / div >
< div class = "line" > < a name = "l00561" > < / a > < span class = "lineno" > 561< / span >   outIndices);< / div >
< div class = "line" > < a name = "l00562" > < / a > < span class = "lineno" > 562< / span >   }< / div >
< div class = "line" > < a name = "l00563" > < / a > < span class = "lineno" > 563< / span >   < / div >
< div class = "line" > < a name = "l00564" > < / a > < span class = "lineno" > 564< / span >   < span class = "comment" > // If the GPU isn' t storing indices (they are on the CPU side), we< / span > < / div >
< div class = "line" > < a name = "l00565" > < / a > < span class = "lineno" > 565< / span >   < span class = "comment" > // need to perform the re-mapping here< / span > < / div >
< div class = "line" > < a name = "l00566" > < / a > < span class = "lineno" > 566< / span >   < span class = "comment" > // FIXME: we might ultimately be calling this function with inputs< / span > < / div >
< div class = "line" > < a name = "l00567" > < / a > < span class = "lineno" > 567< / span >   < span class = "comment" > // from the CPU, these are unnecessary copies< / span > < / div >
< div class = "line" > < a name = "l00568" > < / a > < span class = "lineno" > 568< / span >   < span class = "keywordflow" > if< / span > (< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#afb6d10e23d6448c10f472b9234e0bcab" > indicesOptions_< / a > == INDICES_CPU) {< / div >
< div class = "line" > < a name = "l00569" > < / a > < span class = "lineno" > 569< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1HostTensor.html" > HostTensor< long, 2, true> < / a > hostOutIndices(outIndices, stream);< / div >
< div class = "line" > < a name = "l00570" > < / a > < span class = "lineno" > 570< / span >   < / div >
< div class = "line" > < a name = "l00571" > < / a > < span class = "lineno" > 571< / span >   ivfOffsetToUserIndex(hostOutIndices.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a37d3ac0dffcaad29f09d6e85fb07b335" > data< / a > (),< / div >
< div class = "line" > < a name = "l00572" > < / a > < span class = "lineno" > 572< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#accc4d96c14643e5f471220cb1e92ac70" > numLists_< / a > ,< / div >
< div class = "line" > < a name = "l00573" > < / a > < span class = "lineno" > 573< / span >   hostOutIndices.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0),< / div >
< div class = "line" > < a name = "l00574" > < / a > < span class = "lineno" > 574< / span >   hostOutIndices.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (1),< / div >
< div class = "line" > < a name = "l00575" > < / a > < span class = "lineno" > 575< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a53f3c382a79b7f89630a85dfbc3a1fed" > listOffsetToUserIndex_< / a > );< / div >
< div class = "line" > < a name = "l00576" > < / a > < span class = "lineno" > 576< / span >   < / div >
< div class = "line" > < a name = "l00577" > < / a > < span class = "lineno" > 577< / span >   < span class = "comment" > // Copy back to GPU, since the input to this function is on the< / span > < / div >
< div class = "line" > < a name = "l00578" > < / a > < span class = "lineno" > 578< / span >   < span class = "comment" > // GPU< / span > < / div >
< div class = "line" > < a name = "l00579" > < / a > < span class = "lineno" > 579< / span >   outIndices.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#ae981a94263044f38be89d690dd958426" > copyFrom< / a > (hostOutIndices, stream);< / div >
< div class = "line" > < a name = "l00580" > < / a > < span class = "lineno" > 580< / span >   }< / div >
< div class = "line" > < a name = "l00581" > < / a > < span class = "lineno" > 581< / span >   }< / div >
< div class = "line" > < a name = "l00582" > < / a > < span class = "lineno" > 582< / span >   < / div >
< div class = "line" > < a name = "l00583" > < / a > < span class = "lineno" > 583< / span >   std::vector< unsigned char> < / div >
< div class = "line" > < a name = "l00584" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1IVFPQ.html#a5b349dd021b11b5f48531825359b0657" > 584< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFPQ.html#a5b349dd021b11b5f48531825359b0657" > IVFPQ::getListCodes< / a > (< span class = "keywordtype" > int< / span > listId)< span class = "keyword" > const < / span > {< / div >
< div class = "line" > < a name = "l00585" > < / a > < span class = "lineno" > 585< / span >   FAISS_ASSERT(listId < < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a2facc7285107de1f24d3471cbcf15f26" > deviceListData_< / a > .size());< / div >
< div class = "line" > < a name = "l00586" > < / a > < span class = "lineno" > 586< / span >   < / div >
< div class = "line" > < a name = "l00587" > < / a > < span class = "lineno" > 587< / span >   < span class = "keywordflow" > return< / span > < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a2facc7285107de1f24d3471cbcf15f26" > deviceListData_< / a > [listId]-> copyToHost< < span class = "keywordtype" > unsigned< / span > < span class = "keywordtype" > char< / span > > (< / div >
< div class = "line" > < a name = "l00588" > < / a > < span class = "lineno" > 588< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice());< / div >
< div class = "line" > < a name = "l00589" > < / a > < span class = "lineno" > 589< / span >   }< / div >
< div class = "line" > < a name = "l00590" > < / a > < span class = "lineno" > 590< / span >   < / div >
< div class = "line" > < a name = "l00591" > < / a > < span class = "lineno" > 591< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< float, 3, true> < / a > < / div >
< div class = "line" > < a name = "l00592" > < / a > < span class = "lineno" > < a class = "line" href = "classfaiss_1_1gpu_1_1IVFPQ.html#a3e8bff50f894c243c62e832f923e88e7" > 592< / a > < / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFPQ.html#a3e8bff50f894c243c62e832f923e88e7" > IVFPQ::getPQCentroids< / a > () {< / div >
< div class = "line" > < a name = "l00593" > < / a > < span class = "lineno" > 593< / span >   < span class = "keywordflow" > return< / span > pqCentroidsMiddleCode_;< / div >
< div class = "line" > < a name = "l00594" > < / a > < span class = "lineno" > 594< / span >   }< / div >
< div class = "line" > < a name = "l00595" > < / a > < span class = "lineno" > 595< / span >   < / div >
< div class = "line" > < a name = "l00596" > < / a > < span class = "lineno" > 596< / span >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00597" > < / a > < span class = "lineno" > 597< / span >   IVFPQ::runPQPrecomputedCodes_(< / div >
< div class = "line" > < a name = "l00598" > < / a > < span class = "lineno" > 598< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< float, 2, true> < / a > & queries,< / div >
< div class = "line" > < a name = "l00599" > < / a > < span class = "lineno" > 599< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< float, 2, true> < / a > & coarseDistances,< / div >
< div class = "line" > < a name = "l00600" > < / a > < span class = "lineno" > 600< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< int, 2, true> < / a > & coarseIndices,< / div >
< div class = "line" > < a name = "l00601" > < / a > < span class = "lineno" > 601< / span >   < span class = "keywordtype" > int< / span > k,< / div >
< div class = "line" > < a name = "l00602" > < / a > < span class = "lineno" > 602< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< float, 2, true> < / a > & outDistances,< / div >
< div class = "line" > < a name = "l00603" > < / a > < span class = "lineno" > 603< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< long, 2, true> < / a > & outIndices) {< / div >
< div class = "line" > < a name = "l00604" > < / a > < span class = "lineno" > 604< / span >   < span class = "keyword" > auto< / span > & mem = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getMemoryManagerCurrentDevice();< / div >
< div class = "line" > < a name = "l00605" > < / a > < span class = "lineno" > 605< / span >   < span class = "keyword" > auto< / span > stream = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getDefaultStreamCurrentDevice();< / div >
< div class = "line" > < a name = "l00606" > < / a > < span class = "lineno" > 606< / span >   < / div >
< div class = "line" > < a name = "l00607" > < / a > < span class = "lineno" > 607< / span >   < span class = "comment" > // Compute precomputed code term 3, - 2 * (x|y_R)< / span > < / div >
< div class = "line" > < a name = "l00608" > < / a > < span class = "lineno" > 608< / span >   < span class = "comment" > // This is done via batch MM< / span > < / div >
< div class = "line" > < a name = "l00609" > < / a > < span class = "lineno" > 609< / span >   < span class = "comment" > // {sub q} x {(query id)(sub dim) * (code id)(sub dim)' } => < / span > < / div >
< div class = "line" > < a name = "l00610" > < / a > < span class = "lineno" > 610< / span >   < span class = "comment" > // {sub q} x {(query id)(code id)}< / span > < / div >
< div class = "line" > < a name = "l00611" > < / a > < span class = "lineno" > 611< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > DeviceTensor< float, 3, true> < / a > term3Transposed(< / div >
< div class = "line" > < a name = "l00612" > < / a > < span class = "lineno" > 612< / span >   mem,< / div >
< div class = "line" > < a name = "l00613" > < / a > < span class = "lineno" > 613< / span >   {queries.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0), numSubQuantizers_, numSubQuantizerCodes_},< / div >
< div class = "line" > < a name = "l00614" > < / a > < span class = "lineno" > 614< / span >   stream);< / div >
< div class = "line" > < a name = "l00615" > < / a > < span class = "lineno" > 615< / span >   < / div >
< div class = "line" > < a name = "l00616" > < / a > < span class = "lineno" > 616< / span >   < span class = "comment" > // These allocations within are only temporary, so release them when< / span > < / div >
< div class = "line" > < a name = "l00617" > < / a > < span class = "lineno" > 617< / span >   < span class = "comment" > // we' re done to maximize free space< / span > < / div >
< div class = "line" > < a name = "l00618" > < / a > < span class = "lineno" > 618< / span >   {< / div >
< div class = "line" > < a name = "l00619" > < / a > < span class = "lineno" > 619< / span >   < span class = "keyword" > auto< / span > querySubQuantizerView = queries.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a3095eaec5711fe697c16c21598a8ddc1" > view< / a > < 3> (< / div >
< div class = "line" > < a name = "l00620" > < / a > < span class = "lineno" > 620< / span >   {queries.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0), numSubQuantizers_, dimPerSubQuantizer_});< / div >
< div class = "line" > < a name = "l00621" > < / a > < span class = "lineno" > 621< / span >   DeviceTensor< float, 3, true> queriesTransposed(< / div >
< div class = "line" > < a name = "l00622" > < / a > < span class = "lineno" > 622< / span >   mem,< / div >
< div class = "line" > < a name = "l00623" > < / a > < span class = "lineno" > 623< / span >   {numSubQuantizers_, queries.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0), dimPerSubQuantizer_},< / div >
< div class = "line" > < a name = "l00624" > < / a > < span class = "lineno" > 624< / span >   stream);< / div >
< div class = "line" > < a name = "l00625" > < / a > < span class = "lineno" > 625< / span >   runTransposeAny(querySubQuantizerView, 0, 1, queriesTransposed, stream);< / div >
< div class = "line" > < a name = "l00626" > < / a > < span class = "lineno" > 626< / span >   < / div >
< div class = "line" > < a name = "l00627" > < / a > < span class = "lineno" > 627< / span >   DeviceTensor< float, 3, true> term3(< / div >
< div class = "line" > < a name = "l00628" > < / a > < span class = "lineno" > 628< / span >   mem,< / div >
< div class = "line" > < a name = "l00629" > < / a > < span class = "lineno" > 629< / span >   {numSubQuantizers_, queries.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > getSize< / a > (0), numSubQuantizerCodes_},< / div >
< div class = "line" > < a name = "l00630" > < / a > < span class = "lineno" > 630< / span >   stream);< / div >
< div class = "line" > < a name = "l00631" > < / a > < span class = "lineno" > 631< / span >   < / div >
< div class = "line" > < a name = "l00632" > < / a > < span class = "lineno" > 632< / span >   runIteratedMatrixMult(term3, < span class = "keyword" > false< / span > ,< / div >
< div class = "line" > < a name = "l00633" > < / a > < span class = "lineno" > 633< / span >   queriesTransposed, < span class = "keyword" > false< / span > ,< / div >
< div class = "line" > < a name = "l00634" > < / a > < span class = "lineno" > 634< / span >   pqCentroidsMiddleCode_, < span class = "keyword" > true< / span > ,< / div >
< div class = "line" > < a name = "l00635" > < / a > < span class = "lineno" > 635< / span >   -2.0f, 0.0f,< / div >
< div class = "line" > < a name = "l00636" > < / a > < span class = "lineno" > 636< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > -> getBlasHandleCurrentDevice(),< / div >
< div class = "line" > < a name = "l00637" > < / a > < span class = "lineno" > 637< / span >   stream);< / div >
< div class = "line" > < a name = "l00638" > < / a > < span class = "lineno" > 638< / span >   < / div >
< div class = "line" > < a name = "l00639" > < / a > < span class = "lineno" > 639< / span >   runTransposeAny(term3, 0, 1, term3Transposed, stream);< / div >
< div class = "line" > < a name = "l00640" > < / a > < span class = "lineno" > 640< / span >   }< / div >
< div class = "line" > < a name = "l00641" > < / a > < span class = "lineno" > 641< / span >   < / div >
< div class = "line" > < a name = "l00642" > < / a > < span class = "lineno" > 642< / span >   NoTypeTensor< 3, true> term2;< / div >
< div class = "line" > < a name = "l00643" > < / a > < span class = "lineno" > 643< / span >   NoTypeTensor< 3, true> term3;< / div >
< div class = "line" > < a name = "l00644" > < / a > < span class = "lineno" > 644< / span >   < span class = "preprocessor" > #ifdef FAISS_USE_FLOAT16< / span > < / div >
< div class = "line" > < a name = "l00645" > < / a > < span class = "lineno" > 645< / span >   < span class = "preprocessor" > < / span > DeviceTensor< half, 3, true> term3Half;< / div >
< div class = "line" > < a name = "l00646" > < / a > < span class = "lineno" > 646< / span >   < / div >
< div class = "line" > < a name = "l00647" > < / a > < span class = "lineno" > 647< / span >   < span class = "keywordflow" > if< / span > (useFloat16LookupTables_) {< / div >
< div class = "line" > < a name = "l00648" > < / a > < span class = "lineno" > 648< / span >   term3Half = toHalf(< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > , stream, term3Transposed);< / div >
< div class = "line" > < a name = "l00649" > < / a > < span class = "lineno" > 649< / span >   term2 = NoTypeTensor< 3, true> (precomputedCodeHalf_);< / div >
< div class = "line" > < a name = "l00650" > < / a > < span class = "lineno" > 650< / span >   term3 = NoTypeTensor< 3, true> (term3Half);< / div >
< div class = "line" > < a name = "l00651" > < / a > < span class = "lineno" > 651< / span >   }< / div >
< div class = "line" > < a name = "l00652" > < / a > < span class = "lineno" > 652< / span >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00653" > < / a > < span class = "lineno" > 653< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00654" > < / a > < span class = "lineno" > 654< / span >   < span class = "keywordflow" > if< / span > (!useFloat16LookupTables_) {< / div >
< div class = "line" > < a name = "l00655" > < / a > < span class = "lineno" > 655< / span >   term2 = NoTypeTensor< 3, true> (precomputedCode_);< / div >
< div class = "line" > < a name = "l00656" > < / a > < span class = "lineno" > 656< / span >   term3 = NoTypeTensor< 3, true> (term3Transposed);< / div >
< div class = "line" > < a name = "l00657" > < / a > < span class = "lineno" > 657< / span >   }< / div >
< div class = "line" > < a name = "l00658" > < / a > < span class = "lineno" > 658< / span >   < / div >
< div class = "line" > < a name = "l00659" > < / a > < span class = "lineno" > 659< / span >   runPQScanMultiPassPrecomputed(queries,< / div >
< div class = "line" > < a name = "l00660" > < / a > < span class = "lineno" > 660< / span >   coarseDistances, < span class = "comment" > // term 1< / span > < / div >
< div class = "line" > < a name = "l00661" > < / a > < span class = "lineno" > 661< / span >   term2, < span class = "comment" > // term 2< / span > < / div >
< div class = "line" > < a name = "l00662" > < / a > < span class = "lineno" > 662< / span >   term3, < span class = "comment" > // term 3< / span > < / div >
< div class = "line" > < a name = "l00663" > < / a > < span class = "lineno" > 663< / span >   coarseIndices,< / div >
< div class = "line" > < a name = "l00664" > < / a > < span class = "lineno" > 664< / span >   useFloat16LookupTables_,< / div >
< div class = "line" > < a name = "l00665" > < / a > < span class = "lineno" > 665< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a319568b832518392fed33ea4f8bfc613" > bytesPerVector_< / a > ,< / div >
< div class = "line" > < a name = "l00666" > < / a > < span class = "lineno" > 666< / span >   numSubQuantizers_,< / div >
< div class = "line" > < a name = "l00667" > < / a > < span class = "lineno" > 667< / span >   numSubQuantizerCodes_,< / div >
< div class = "line" > < a name = "l00668" > < / a > < span class = "lineno" > 668< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a96240a08b42bd1913e2286d7d514fc56" > deviceListDataPointers_< / a > ,< / div >
< div class = "line" > < a name = "l00669" > < / a > < span class = "lineno" > 669< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a9aedcf0e6a20b908980ae96d73461f4c" > deviceListIndexPointers_< / a > ,< / div >
< div class = "line" > < a name = "l00670" > < / a > < span class = "lineno" > 670< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#afb6d10e23d6448c10f472b9234e0bcab" > indicesOptions_< / a > ,< / div >
< div class = "line" > < a name = "l00671" > < / a > < span class = "lineno" > 671< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a3a1c2031a4763f7d55bc8a400c63af66" > deviceListLengths_< / a > ,< / div >
< div class = "line" > < a name = "l00672" > < / a > < span class = "lineno" > 672< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#ae25ea0901fb628844868413f51c85bda" > maxListLength_< / a > ,< / div >
< div class = "line" > < a name = "l00673" > < / a > < span class = "lineno" > 673< / span >   k,< / div >
< div class = "line" > < a name = "l00674" > < / a > < span class = "lineno" > 674< / span >   outDistances,< / div >
< div class = "line" > < a name = "l00675" > < / a > < span class = "lineno" > 675< / span >   outIndices,< / div >
< div class = "line" > < a name = "l00676" > < / a > < span class = "lineno" > 676< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > );< / div >
< div class = "line" > < a name = "l00677" > < / a > < span class = "lineno" > 677< / span >   }< / div >
< div class = "line" > < a name = "l00678" > < / a > < span class = "lineno" > 678< / span >   < / div >
< div class = "line" > < a name = "l00679" > < / a > < span class = "lineno" > 679< / span >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00680" > < / a > < span class = "lineno" > 680< / span >   IVFPQ::runPQNoPrecomputedCodes_(< / div >
< div class = "line" > < a name = "l00681" > < / a > < span class = "lineno" > 681< / span >   Tensor< float, 2, true> & queries,< / div >
< div class = "line" > < a name = "l00682" > < / a > < span class = "lineno" > 682< / span >   DeviceTensor< float, 2, true> & coarseDistances,< / div >
< div class = "line" > < a name = "l00683" > < / a > < span class = "lineno" > 683< / span >   DeviceTensor< int, 2, true> & coarseIndices,< / div >
< div class = "line" > < a name = "l00684" > < / a > < span class = "lineno" > 684< / span >   < span class = "keywordtype" > int< / span > k,< / div >
< div class = "line" > < a name = "l00685" > < / a > < span class = "lineno" > 685< / span >   Tensor< float, 2, true> & outDistances,< / div >
< div class = "line" > < a name = "l00686" > < / a > < span class = "lineno" > 686< / span >   Tensor< long, 2, true> & outIndices) {< / div >
< div class = "line" > < a name = "l00687" > < / a > < span class = "lineno" > 687< / span >   FAISS_ASSERT(!< a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a878114abdba07c9cf7735f9c0ed594c3" > quantizer_< / a > -> getUseFloat16());< / div >
< div class = "line" > < a name = "l00688" > < / a > < span class = "lineno" > 688< / span >   < span class = "keyword" > auto< / span > & coarseCentroids = < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a878114abdba07c9cf7735f9c0ed594c3" > quantizer_< / a > -> < a class = "code" href = "classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06" > getVectorsFloat32Ref< / a > ();< / div >
< div class = "line" > < a name = "l00689" > < / a > < span class = "lineno" > 689< / span >   < / div >
< div class = "line" > < a name = "l00690" > < / a > < span class = "lineno" > 690< / span >   runPQScanMultiPassNoPrecomputed(queries,< / div >
< div class = "line" > < a name = "l00691" > < / a > < span class = "lineno" > 691< / span >   coarseCentroids,< / div >
< div class = "line" > < a name = "l00692" > < / a > < span class = "lineno" > 692< / span >   pqCentroidsInnermostCode_,< / div >
< div class = "line" > < a name = "l00693" > < / a > < span class = "lineno" > 693< / span >   coarseIndices,< / div >
< div class = "line" > < a name = "l00694" > < / a > < span class = "lineno" > 694< / span >   useFloat16LookupTables_,< / div >
< div class = "line" > < a name = "l00695" > < / a > < span class = "lineno" > 695< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a319568b832518392fed33ea4f8bfc613" > bytesPerVector_< / a > ,< / div >
< div class = "line" > < a name = "l00696" > < / a > < span class = "lineno" > 696< / span >   numSubQuantizers_,< / div >
< div class = "line" > < a name = "l00697" > < / a > < span class = "lineno" > 697< / span >   numSubQuantizerCodes_,< / div >
< div class = "line" > < a name = "l00698" > < / a > < span class = "lineno" > 698< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a96240a08b42bd1913e2286d7d514fc56" > deviceListDataPointers_< / a > ,< / div >
< div class = "line" > < a name = "l00699" > < / a > < span class = "lineno" > 699< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a9aedcf0e6a20b908980ae96d73461f4c" > deviceListIndexPointers_< / a > ,< / div >
< div class = "line" > < a name = "l00700" > < / a > < span class = "lineno" > 700< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#afb6d10e23d6448c10f472b9234e0bcab" > indicesOptions_< / a > ,< / div >
< div class = "line" > < a name = "l00701" > < / a > < span class = "lineno" > 701< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a3a1c2031a4763f7d55bc8a400c63af66" > deviceListLengths_< / a > ,< / div >
< div class = "line" > < a name = "l00702" > < / a > < span class = "lineno" > 702< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#ae25ea0901fb628844868413f51c85bda" > maxListLength_< / a > ,< / div >
< div class = "line" > < a name = "l00703" > < / a > < span class = "lineno" > 703< / span >   k,< / div >
< div class = "line" > < a name = "l00704" > < / a > < span class = "lineno" > 704< / span >   outDistances,< / div >
< div class = "line" > < a name = "l00705" > < / a > < span class = "lineno" > 705< / span >   outIndices,< / div >
< div class = "line" > < a name = "l00706" > < / a > < span class = "lineno" > 706< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > resources_< / a > );< / div >
< div class = "line" > < a name = "l00707" > < / a > < span class = "lineno" > 707< / span >   }< / div >
< div class = "line" > < a name = "l00708" > < / a > < span class = "lineno" > 708< / span >   < / div >
< div class = "line" > < a name = "l00709" > < / a > < span class = "lineno" > 709< / span >   } } < span class = "comment" > // namespace< / span > < / div >
2017-02-23 06:26:44 +08:00
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_accc4d96c14643e5f471220cb1e92ac70" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#accc4d96c14643e5f471220cb1e92ac70" > faiss::gpu::IVFBase::numLists_< / a > < / div > < div class = "ttdeci" > const int numLists_< / div > < div class = "ttdoc" > Number of inverted lists we maintain. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00090" > IVFBase.cuh:90< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_ae25ea0901fb628844868413f51c85bda" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#ae25ea0901fb628844868413f51c85bda" > faiss::gpu::IVFBase::maxListLength_< / a > < / div > < div class = "ttdeci" > int maxListLength_< / div > < div class = "ttdoc" > Maximum list length seen. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00111" > IVFBase.cuh:111< / a > < / div > < / div >
2017-02-25 00:32:08 +08:00
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFPQ_html_a9992b38226dc8f92ca2691582fabb675" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFPQ.html#a9992b38226dc8f92ca2691582fabb675" > faiss::gpu::IVFPQ::addCodeVectorsFromCpu< / a > < / div > < div class = "ttdeci" > void addCodeVectorsFromCpu(int listId, const void *codes, const long *indices, size_t numVecs)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFPQ_8cu_source.html#l00347" > IVFPQ.cu:347< / a > < / div > < / div >
2017-02-23 06:26:44 +08:00
< div class = "ttc" id = "classfaiss_1_1gpu_1_1FlatIndex_html_a6988df17792dae30f24cc859728777e6" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1FlatIndex.html#a6988df17792dae30f24cc859728777e6" > faiss::gpu::FlatIndex::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 = "FlatIndex_8cu_source.html#l00040" > FlatIndex.cu:40< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_a53f3c382a79b7f89630a85dfbc3a1fed" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#a53f3c382a79b7f89630a85dfbc3a1fed" > faiss::gpu::IVFBase::listOffsetToUserIndex_< / a > < / div > < div class = "ttdeci" > std::vector< std::vector< long > > listOffsetToUserIndex_< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00123" > IVFBase.cuh:123< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1FlatIndex_html" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1FlatIndex.html" > faiss::gpu::FlatIndex< / a > < / div > < div class = "ttdoc" > Holder of GPU resources for a particular flat index. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "FlatIndex_8cuh_source.html#l00023" > FlatIndex.cuh:23< / a > < / div > < / 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_1IVFBase_html" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html" > faiss::gpu::IVFBase< / a > < / div > < div class = "ttdoc" > Base inverted list functionality for IVFFlat and IVFPQ. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00027" > IVFBase.cuh:27< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1GpuResources_html" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1GpuResources.html" > faiss::gpu::GpuResources< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "GpuResources_8h_source.html#l00024" > GpuResources.h:24< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFPQ_html_acdcc64f9b72e661d39528d5d67e54536" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFPQ.html#acdcc64f9b72e661d39528d5d67e54536" > faiss::gpu::IVFPQ::IVFPQ< / a > < / div > < div class = "ttdeci" > IVFPQ(GpuResources *resources, FlatIndex *quantizer, int numSubQuantizers, int bitsPerSubQuantizer, float *pqCentroidData, IndicesOptions indicesOptions, bool useFloat16LookupTables)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFPQ_8cu_source.html#l00036" > IVFPQ.cu:36< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_a3a1c2031a4763f7d55bc8a400c63af66" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#a3a1c2031a4763f7d55bc8a400c63af66" > faiss::gpu::IVFBase::deviceListLengths_< / a > < / div > < div class = "ttdeci" > thrust::device_vector< int > deviceListLengths_< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00108" > IVFBase.cuh:108< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFPQ_html_adb58eeacdceb0e0fde1820ca7f116e05" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFPQ.html#adb58eeacdceb0e0fde1820ca7f116e05" > faiss::gpu::IVFPQ::isSupportedPQCodeLength< / a > < / div > < div class = "ttdeci" > static bool isSupportedPQCodeLength(int size)< / div > < div class = "ttdoc" > Returns true if we support PQ in this size. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFPQ_8cu_source.html#l00071" > IVFPQ.cu:71< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_a9aedcf0e6a20b908980ae96d73461f4c" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#a9aedcf0e6a20b908980ae96d73461f4c" > faiss::gpu::IVFBase::deviceListIndexPointers_< / a > < / div > < div class = "ttdeci" > thrust::device_vector< void * > deviceListIndexPointers_< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00104" > IVFBase.cuh:104< / a > < / div > < / div >
2017-02-25 00:32:08 +08:00
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFPQ_html_ab1e07b04b25569cc58c5f3f033f4dab3" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFPQ.html#ab1e07b04b25569cc58c5f3f033f4dab3" > faiss::gpu::IVFPQ::classifyAndAddVectors< / a > < / div > < div class = "ttdeci" > int classifyAndAddVectors(Tensor< float, 2, true > & vecs, Tensor< long, 1, true > & indices)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFPQ_8cu_source.html#l00119" > IVFPQ.cu:119< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFPQ_html_ab0c458aab9a3d903f31b0e63ce16e623" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFPQ.html#ab0c458aab9a3d903f31b0e63ce16e623" > faiss::gpu::IVFPQ::query< / a > < / div > < div class = "ttdeci" > void query(Tensor< float, 2, true > & queries, int nprobe, int k, Tensor< float, 2, true > & outDistances, Tensor< long, 2, true > & outIndices)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFPQ_8cu_source.html#l00517" > IVFPQ.cu:517< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFPQ_html_a3e8bff50f894c243c62e832f923e88e7" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFPQ.html#a3e8bff50f894c243c62e832f923e88e7" > faiss::gpu::IVFPQ::getPQCentroids< / a > < / div > < div class = "ttdeci" > Tensor< float, 3, true > getPQCentroids()< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFPQ_8cu_source.html#l00592" > IVFPQ.cu:592< / a > < / div > < / div >
2017-02-23 06:26:44 +08:00
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_a878114abdba07c9cf7735f9c0ed594c3" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#a878114abdba07c9cf7735f9c0ed594c3" > faiss::gpu::IVFBase::quantizer_< / a > < / div > < div class = "ttdeci" > FlatIndex * quantizer_< / div > < div class = "ttdoc" > Quantizer object. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00084" > IVFBase.cuh:84< / a > < / div > < / div >
2017-02-25 00:32:08 +08:00
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFPQ_html_adcee5dbf48c3cb6b8a67f5f392e155fd" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFPQ.html#adcee5dbf48c3cb6b8a67f5f392e155fd" > faiss::gpu::IVFPQ::setPrecomputedCodes< / a > < / div > < div class = "ttdeci" > void setPrecomputedCodes(bool enable)< / div > < div class = "ttdoc" > Enable or disable pre-computed codes. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFPQ_8cu_source.html#l00101" > IVFPQ.cu:101< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFPQ_html_a5b349dd021b11b5f48531825359b0657" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFPQ.html#a5b349dd021b11b5f48531825359b0657" > faiss::gpu::IVFPQ::getListCodes< / a > < / div > < div class = "ttdeci" > std::vector< unsigned char > getListCodes(int listId) const < / div > < div class = "ttdoc" > Return the list codes of a particular list back to the CPU. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFPQ_8cu_source.html#l00584" > IVFPQ.cu:584< / a > < / div > < / div >
2017-02-23 06:26:44 +08:00
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_a96240a08b42bd1913e2286d7d514fc56" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#a96240a08b42bd1913e2286d7d514fc56" > faiss::gpu::IVFBase::deviceListDataPointers_< / a > < / div > < div class = "ttdeci" > thrust::device_vector< void * > deviceListDataPointers_< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00100" > IVFBase.cuh:100< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_a05e6400358ec1f529a67209d3f24cc63" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#a05e6400358ec1f529a67209d3f24cc63" > faiss::gpu::IVFBase::resources_< / a > < / div > < div class = "ttdeci" > GpuResources * resources_< / div > < div class = "ttdoc" > Collection of GPU resources that we use. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00081" > IVFBase.cuh:81< / 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_a3095eaec5711fe697c16c21598a8ddc1" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html#a3095eaec5711fe697c16c21598a8ddc1" > faiss::gpu::Tensor::view< / a > < / div > < div class = "ttdeci" > __host__ __device__ Tensor< T, SubDim, Contig, IndexT, PtrTraits > view(DataPtrType at)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Tensor-inl_8cuh_source.html#l00526" > Tensor-inl.cuh:526< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_a319568b832518392fed33ea4f8bfc613" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#a319568b832518392fed33ea4f8bfc613" > faiss::gpu::IVFBase::bytesPerVector_< / a > < / div > < div class = "ttdeci" > const int bytesPerVector_< / div > < div class = "ttdoc" > Number of bytes per vector in the list. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00093" > IVFBase.cuh:93< / a > < / div > < / div >
2017-02-25 00:32:08 +08:00
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_acc695610c9513952b8d234dc0db78e5c" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#acc695610c9513952b8d234dc0db78e5c" > faiss::gpu::IVFBase::updateDeviceListInfo_< / a > < / div > < div class = "ttdeci" > void updateDeviceListInfo_(cudaStream_t stream)< / div > < div class = "ttdoc" > Update all device-side list pointer and size information. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cu_source.html#l00137" > IVFBase.cu:137< / a > < / div > < / div >
2017-02-23 06:26:44 +08:00
< div class = "ttc" id = "classfaiss_1_1gpu_1_1Tensor_html_a2d276c97faf432cdc9f3552da63c0d3c" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html#a2d276c97faf432cdc9f3552da63c0d3c" > 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#l00210" > Tensor.cuh:210< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1Tensor_html_ae981a94263044f38be89d690dd958426" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html#ae981a94263044f38be89d690dd958426" > faiss::gpu::Tensor::copyFrom< / a > < / div > < div class = "ttdeci" > __host__ void copyFrom(Tensor< T, Dim, Contig, 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#l00101" > Tensor-inl.cuh:101< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1FlatIndex_html_a12058744ffb3fbcbb047872449269c06" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1FlatIndex.html#a12058744ffb3fbcbb047872449269c06" > faiss::gpu::FlatIndex::getVectorsFloat32Ref< / a > < / div > < div class = "ttdeci" > Tensor< float, 2, true > & getVectorsFloat32Ref()< / div > < div class = "ttdoc" > Returns a reference to our vectors currently in use. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "FlatIndex_8cu_source.html#l00061" > FlatIndex.cu:61< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_afb6d10e23d6448c10f472b9234e0bcab" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#afb6d10e23d6448c10f472b9234e0bcab" > faiss::gpu::IVFBase::indicesOptions_< / a > < / div > < div class = "ttdeci" > const IndicesOptions indicesOptions_< / div > < div class = "ttdoc" > How are user indices stored on the GPU? < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00096" > IVFBase.cuh:96< / 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_1IVFBase_html_a2facc7285107de1f24d3471cbcf15f26" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#a2facc7285107de1f24d3471cbcf15f26" > faiss::gpu::IVFBase::deviceListData_< / a > < / div > < div class = "ttdeci" > std::vector< std::unique_ptr< DeviceVector< unsigned char > > > deviceListData_< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00117" > IVFBase.cuh:117< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1DeviceTensor_html" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1DeviceTensor.html" > faiss::gpu::DeviceTensor< float, 3, true > < / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_aba3e3cfa469e5187f2d553fff10e0250" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#aba3e3cfa469e5187f2d553fff10e0250" > faiss::gpu::IVFBase::dim_< / a > < / div > < div class = "ttdeci" > const int dim_< / div > < div class = "ttdoc" > Expected dimensionality of the vectors. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cuh_source.html#l00087" > IVFBase.cuh:87< / a > < / div > < / div >
2017-02-25 00:32:08 +08:00
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFBase_html_a5027720549de98f4e609d6339099df35" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFBase.html#a5027720549de98f4e609d6339099df35" > faiss::gpu::IVFBase::addIndicesFromCpu_< / a > < / div > < div class = "ttdeci" > void addIndicesFromCpu_(int listId, const long *indices, size_t numVecs)< / div > < div class = "ttdoc" > Shared function to copy indices from CPU to GPU. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFBase_8cu_source.html#l00244" > IVFBase.cu:244< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1IVFPQ_html_a0eedf0295ad73125ee1254173a176674" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1IVFPQ.html#a0eedf0295ad73125ee1254173a176674" > faiss::gpu::IVFPQ::isSupportedNoPrecomputedSubDimSize< / a > < / div > < div class = "ttdeci" > static bool isSupportedNoPrecomputedSubDimSize(int dims)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFPQ_8cu_source.html#l00096" > IVFPQ.cu:96< / a > < / div > < / div >
2017-02-23 06:26:44 +08:00
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