2017-07-18 17:43:35 +08:00
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< div class = "title" > /data/users/matthijs/github_faiss/faiss/IndexScalarQuantizer.cpp< / div > < / div >
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< div class = "line" > < a name = "l00002" > < / a > < span class = "lineno" > 2< / span >   < span class = "comment" > * Copyright (c) 2015-present, Facebook, Inc.< / span > < / div >
< div class = "line" > < a name = "l00003" > < / a > < span class = "lineno" > 3< / span >   < span class = "comment" > * All rights reserved.< / span > < / div >
< div class = "line" > < a name = "l00004" > < / a > < span class = "lineno" > 4< / span >   < span class = "comment" > *< / span > < / div >
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< div class = "line" > < a name = "l00005" > < / a > < span class = "lineno" > 5< / span >   < span class = "comment" > * This source code is licensed under the BSD+Patents license found in the< / span > < / div >
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< div class = "line" > < a name = "l00006" > < / a > < span class = "lineno" > 6< / span >   < span class = "comment" > * LICENSE file in the root directory of this source tree.< / span > < / div >
< div class = "line" > < a name = "l00007" > < / a > < span class = "lineno" > 7< / span >   < span class = "comment" > */< / span > < / div >
< div class = "line" > < a name = "l00008" > < / a > < span class = "lineno" > 8< / span >   < / div >
< div class = "line" > < a name = "l00009" > < / a > < span class = "lineno" > 9< / span >   < span class = "preprocessor" > #include " IndexScalarQuantizer.h" < / span > < / div >
< div class = "line" > < a name = "l00010" > < / a > < span class = "lineno" > 10< / span >   < / div >
< div class = "line" > < a name = "l00011" > < / a > < span class = "lineno" > 11< / span >   < span class = "preprocessor" > #include < cstdio> < / span > < / div >
< div class = "line" > < a name = "l00012" > < / a > < span class = "lineno" > 12< / span >   < span class = "preprocessor" > #include < algorithm> < / span > < / div >
< div class = "line" > < a name = "l00013" > < / a > < span class = "lineno" > 13< / span >   < / div >
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< div class = "line" > < a name = "l00014" > < / a > < span class = "lineno" > 14< / span >   < span class = "preprocessor" > #include < malloc.h> < / span > < / div >
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< div class = "line" > < a name = "l00015" > < / a > < span class = "lineno" > 15< / span >   < / div >
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< div class = "line" > < a name = "l00016" > < / a > < span class = "lineno" > 16< / span >   < span class = "preprocessor" > #include < omp.h> < / span > < / div >
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< div class = "line" > < a name = "l00017" > < / a > < span class = "lineno" > 17< / span >   < / div >
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< div class = "line" > < a name = "l00018" > < / a > < span class = "lineno" > 18< / span >   < span class = "preprocessor" > #include < immintrin.h> < / span > < / div >
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< div class = "line" > < a name = "l00019" > < / a > < span class = "lineno" > 19< / span >   < / div >
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< div class = "line" > < a name = "l00020" > < / a > < span class = "lineno" > 20< / span >   < span class = "preprocessor" > #include " utils.h" < / span > < / div >
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< div class = "line" > < a name = "l00021" > < / a > < span class = "lineno" > 21< / span >   < / div >
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< div class = "line" > < a name = "l00022" > < / a > < span class = "lineno" > 22< / span >   < span class = "preprocessor" > #include " FaissAssert.h" < / span > < / div >
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< div class = "line" > < a name = "l00023" > < / a > < span class = "lineno" > 23< / span >   < / div >
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< div class = "line" > < a name = "l00024" > < / a > < span class = "lineno" > 24< / span >   < span class = "keyword" > namespace < / span > faiss {< / div >
< div class = "line" > < a name = "l00025" > < / a > < span class = "lineno" > 25< / span >   < / div >
< div class = "line" > < a name = "l00026" > < / a > < span class = "lineno" > 26< / span >   < span class = "comment" > /*******************************************************************< / span > < / div >
< div class = "line" > < a name = "l00027" > < / a > < span class = "lineno" > 27< / span >   < span class = "comment" > * ScalarQuantizer implementation< / span > < / div >
< div class = "line" > < a name = "l00028" > < / a > < span class = "lineno" > 28< / span >   < span class = "comment" > *< / span > < / div >
< div class = "line" > < a name = "l00029" > < / a > < span class = "lineno" > 29< / span >   < span class = "comment" > * The main source of complexity is to support combinations of 4< / span > < / div >
< div class = "line" > < a name = "l00030" > < / a > < span class = "lineno" > 30< / span >   < span class = "comment" > * variants without incurring runtime tests or virtual function calls:< / span > < / div >
< div class = "line" > < a name = "l00031" > < / a > < span class = "lineno" > 31< / span >   < span class = "comment" > *< / span > < / div >
< div class = "line" > < a name = "l00032" > < / a > < span class = "lineno" > 32< / span >   < span class = "comment" > * - 4 / 8 bits per code component< / span > < / div >
< div class = "line" > < a name = "l00033" > < / a > < span class = "lineno" > 33< / span >   < span class = "comment" > * - uniform / non-uniform< / span > < / div >
< div class = "line" > < a name = "l00034" > < / a > < span class = "lineno" > 34< / span >   < span class = "comment" > * - IP / L2 distance search< / span > < / div >
< div class = "line" > < a name = "l00035" > < / a > < span class = "lineno" > 35< / span >   < span class = "comment" > * - scalar / AVX distance computation< / span > < / div >
< div class = "line" > < a name = "l00036" > < / a > < span class = "lineno" > 36< / span >   < span class = "comment" > *< / span > < / div >
< div class = "line" > < a name = "l00037" > < / a > < span class = "lineno" > 37< / span >   < span class = "comment" > * The appropriate Quantizer object is returned via select_quantizer< / span > < / div >
< div class = "line" > < a name = "l00038" > < / a > < span class = "lineno" > 38< / span >   < span class = "comment" > * that hides the template mess.< / span > < / div >
< div class = "line" > < a name = "l00039" > < / a > < span class = "lineno" > 39< / span >   < span class = "comment" > ********************************************************************/< / span > < / div >
< div class = "line" > < a name = "l00040" > < / a > < span class = "lineno" > 40< / span >   < / div >
< div class = "line" > < a name = "l00041" > < / a > < span class = "lineno" > 41< / span >   < span class = "preprocessor" > #ifdef __AVX__< / span > < / div >
< div class = "line" > < a name = "l00042" > < / a > < span class = "lineno" > 42< / span >   < span class = "preprocessor" > < / span > < span class = "preprocessor" > #define USE_AVX< / span > < / div >
< div class = "line" > < a name = "l00043" > < / a > < span class = "lineno" > 43< / span >   < span class = "preprocessor" > < / span > < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00044" > < / a > < span class = "lineno" > 44< / span >   < span class = "preprocessor" > < / span > < / div >
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< div class = "line" > < a name = "l00045" > < / a > < span class = "lineno" > 45< / span >   < / div >
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< div class = "line" > < a name = "l00046" > < / a > < span class = "lineno" > 46< / span >   < span class = "keyword" > namespace < / span > {< / div >
< div class = "line" > < a name = "l00047" > < / a > < span class = "lineno" > 47< / span >   < / div >
< div class = "line" > < a name = "l00048" > < / a > < span class = "lineno" > 48< / span >   < span class = "keyword" > typedef< / span > < a class = "code" href = "structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4" > Index::idx_t< / a > idx_t;< / div >
< div class = "line" > < a name = "l00049" > < / a > < span class = "lineno" > 49< / span >   < span class = "keyword" > typedef< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952e" > ScalarQuantizer::QuantizerType< / a > QuantizerType;< / div >
< div class = "line" > < a name = "l00050" > < / a > < span class = "lineno" > 50< / span >   < span class = "keyword" > typedef< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06" > ScalarQuantizer::RangeStat< / a > RangeStat;< / div >
< div class = "line" > < a name = "l00051" > < / a > < span class = "lineno" > 51< / span >   < span class = "keyword" > using< / span > DistanceComputer = ScalarQuantizer::DistanceComputer;< / div >
< div class = "line" > < a name = "l00052" > < / a > < span class = "lineno" > 52< / span >   < / div >
< div class = "line" > < a name = "l00053" > < / a > < span class = "lineno" > 53< / span >   < / div >
< div class = "line" > < a name = "l00054" > < / a > < span class = "lineno" > 54< / span >   < span class = "comment" > /*******************************************************************< / span > < / div >
< div class = "line" > < a name = "l00055" > < / a > < span class = "lineno" > 55< / span >   < span class = "comment" > * Codec: converts between values in [0, 1] and an index in a code< / span > < / div >
< div class = "line" > < a name = "l00056" > < / a > < span class = "lineno" > 56< / span >   < span class = "comment" > * array. The " i" parameter is the vector component index (not byte< / span > < / div >
< div class = "line" > < a name = "l00057" > < / a > < span class = "lineno" > 57< / span >   < span class = "comment" > * index).< / span > < / div >
< div class = "line" > < a name = "l00058" > < / a > < span class = "lineno" > 58< / span >   < span class = "comment" > */< / span > < / div >
< div class = "line" > < a name = "l00059" > < / a > < span class = "lineno" > 59< / span >   < / div >
< div class = "line" > < a name = "l00060" > < / a > < span class = "lineno" > 60< / span >   < span class = "keyword" > struct < / span > Codec8bit {< / div >
< div class = "line" > < a name = "l00061" > < / a > < span class = "lineno" > 61< / span >   < / div >
< div class = "line" > < a name = "l00062" > < / a > < span class = "lineno" > 62< / span >   < span class = "keyword" > static< / span > < span class = "keywordtype" > void< / span > encode_component (< span class = "keywordtype" > float< / span > x, uint8_t *code, < span class = "keywordtype" > int< / span > i) {< / div >
< div class = "line" > < a name = "l00063" > < / a > < span class = "lineno" > 63< / span >   code[i] = (int)(255 * x);< / 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 >   < span class = "keyword" > static< / span > < span class = "keywordtype" > float< / span > decode_component (< span class = "keyword" > const< / span > uint8_t *code, < span class = "keywordtype" > int< / span > i) {< / div >
< div class = "line" > < a name = "l00067" > < / a > < span class = "lineno" > 67< / span >   < span class = "keywordflow" > return< / span > (code[i] + 0.5f) / 255.0f;< / 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 = "preprocessor" > #ifdef USE_AVX< / span > < / div >
< div class = "line" > < a name = "l00071" > < / a > < span class = "lineno" > 71< / span >   < span class = "preprocessor" > < / span > < span class = "keyword" > static< / span > __m256 decode_8_components (< span class = "keyword" > const< / span > uint8_t *code, < span class = "keywordtype" > int< / span > i) {< / div >
< div class = "line" > < a name = "l00072" > < / a > < span class = "lineno" > 72< / span >   uint64_t c8 = *(uint64_t*)(code + i);< / div >
< div class = "line" > < a name = "l00073" > < / a > < span class = "lineno" > 73< / span >   __m128i c4lo = _mm_cvtepu8_epi32 (_mm_set1_epi32(c8));< / div >
< div class = "line" > < a name = "l00074" > < / a > < span class = "lineno" > 74< / span >   __m128i c4hi = _mm_cvtepu8_epi32 (_mm_set1_epi32(c8 > > 32));< / div >
< div class = "line" > < a name = "l00075" > < / a > < span class = "lineno" > 75< / span >   < span class = "comment" > // __m256i i8 = _mm256_set_m128i(c4lo, c4hi);< / span > < / div >
< div class = "line" > < a name = "l00076" > < / a > < span class = "lineno" > 76< / span >   __m256i i8 = _mm256_castsi128_si256 (c4lo);< / div >
< div class = "line" > < a name = "l00077" > < / a > < span class = "lineno" > 77< / span >   i8 = _mm256_insertf128_si256 (i8, c4hi, 1);< / div >
< div class = "line" > < a name = "l00078" > < / a > < span class = "lineno" > 78< / span >   __m256 f8 = _mm256_cvtepi32_ps (i8);< / div >
< div class = "line" > < a name = "l00079" > < / a > < span class = "lineno" > 79< / span >   __m256 half = _mm256_set1_ps (0.5f);< / div >
< div class = "line" > < a name = "l00080" > < / a > < span class = "lineno" > 80< / span >   f8 += half;< / div >
< div class = "line" > < a name = "l00081" > < / a > < span class = "lineno" > 81< / span >   __m256 one_255 = _mm256_set1_ps (1.f / 255.f);< / div >
< div class = "line" > < a name = "l00082" > < / a > < span class = "lineno" > 82< / span >   < span class = "keywordflow" > return< / span > f8 * one_255;< / div >
< div class = "line" > < a name = "l00083" > < / a > < span class = "lineno" > 83< / span >   }< / div >
< div class = "line" > < a name = "l00084" > < / a > < span class = "lineno" > 84< / span >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00085" > < / a > < span class = "lineno" > 85< / span >   < span class = "preprocessor" > < / span > };< / div >
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< div class = "line" > < a name = "l00086" > < / a > < span class = "lineno" > 86< / span >   < / div >
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< div class = "line" > < a name = "l00087" > < / a > < span class = "lineno" > 87< / span >   < / div >
< div class = "line" > < a name = "l00088" > < / a > < span class = "lineno" > 88< / span >   < span class = "keyword" > struct < / span > Codec4bit {< / div >
< div class = "line" > < a name = "l00089" > < / a > < span class = "lineno" > 89< / span >   < / div >
< div class = "line" > < a name = "l00090" > < / a > < span class = "lineno" > 90< / span >   < span class = "keyword" > static< / span > < span class = "keywordtype" > void< / span > encode_component (< span class = "keywordtype" > float< / span > x, uint8_t *code, < span class = "keywordtype" > int< / span > i) {< / div >
< div class = "line" > < a name = "l00091" > < / a > < span class = "lineno" > 91< / span >   code [i / 2] |= (int)(x * 15.0) < < ((i & 1) < < 2);< / 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 >   < span class = "keyword" > static< / span > < span class = "keywordtype" > float< / span > decode_component (< span class = "keyword" > const< / span > uint8_t *code, < span class = "keywordtype" > int< / span > i) {< / div >
< div class = "line" > < a name = "l00095" > < / a > < span class = "lineno" > 95< / span >   < span class = "keywordflow" > return< / span > (((code[i / 2] > > ((i & 1) < < 2)) & 0xf) + 0.5f) / 15.0f;< / div >
< div class = "line" > < a name = "l00096" > < / a > < span class = "lineno" > 96< / span >   }< / div >
< div class = "line" > < a name = "l00097" > < / a > < span class = "lineno" > 97< / span >   < / div >
< div class = "line" > < a name = "l00098" > < / a > < span class = "lineno" > 98< / span >   < / div >
< div class = "line" > < a name = "l00099" > < / a > < span class = "lineno" > 99< / span >   < span class = "preprocessor" > #ifdef USE_AVX< / span > < / div >
< div class = "line" > < a name = "l00100" > < / a > < span class = "lineno" > 100< / span >   < span class = "preprocessor" > < / span > < span class = "keyword" > static< / span > __m256 decode_8_components (< span class = "keyword" > const< / span > uint8_t *code, < span class = "keywordtype" > int< / span > i) {< / div >
< div class = "line" > < a name = "l00101" > < / a > < span class = "lineno" > 101< / span >   uint32_t c4 = *(uint32_t*)(code + (i > > 1));< / div >
< div class = "line" > < a name = "l00102" > < / a > < span class = "lineno" > 102< / span >   uint32_t mask = 0x0f0f0f0f;< / div >
< div class = "line" > < a name = "l00103" > < / a > < span class = "lineno" > 103< / span >   uint32_t c4ev = c4 & mask;< / div >
< div class = "line" > < a name = "l00104" > < / a > < span class = "lineno" > 104< / span >   uint32_t c4od = (c4 > > 4) & mask;< / div >
< div class = "line" > < a name = "l00105" > < / a > < span class = "lineno" > 105< / span >   < / div >
< div class = "line" > < a name = "l00106" > < / a > < span class = "lineno" > 106< / span >   < span class = "comment" > // the 8 lower bytes of c8 contain the values< / span > < / div >
< div class = "line" > < a name = "l00107" > < / a > < span class = "lineno" > 107< / span >   __m128i c8 = _mm_unpacklo_epi8 (_mm_set1_epi32(c4ev),< / div >
< div class = "line" > < a name = "l00108" > < / a > < span class = "lineno" > 108< / span >   _mm_set1_epi32(c4od));< / div >
< div class = "line" > < a name = "l00109" > < / a > < span class = "lineno" > 109< / span >   __m128i c4lo = _mm_cvtepu8_epi32 (c8);< / div >
< div class = "line" > < a name = "l00110" > < / a > < span class = "lineno" > 110< / span >   __m128i c4hi = _mm_cvtepu8_epi32 (_mm_srli_si128(c8, 4));< / div >
< div class = "line" > < a name = "l00111" > < / a > < span class = "lineno" > 111< / span >   __m256i i8 = _mm256_castsi128_si256 (c4lo);< / div >
< div class = "line" > < a name = "l00112" > < / a > < span class = "lineno" > 112< / span >   i8 = _mm256_insertf128_si256 (i8, c4hi, 1);< / div >
< div class = "line" > < a name = "l00113" > < / a > < span class = "lineno" > 113< / span >   __m256 f8 = _mm256_cvtepi32_ps (i8);< / div >
< div class = "line" > < a name = "l00114" > < / a > < span class = "lineno" > 114< / span >   __m256 half = _mm256_set1_ps (0.5f);< / div >
< div class = "line" > < a name = "l00115" > < / a > < span class = "lineno" > 115< / span >   f8 += half;< / div >
< div class = "line" > < a name = "l00116" > < / a > < span class = "lineno" > 116< / span >   __m256 one_255 = _mm256_set1_ps (1.f / 15.f);< / div >
< div class = "line" > < a name = "l00117" > < / a > < span class = "lineno" > 117< / span >   < span class = "keywordflow" > return< / span > f8 * one_255;< / div >
< div class = "line" > < a name = "l00118" > < / a > < span class = "lineno" > 118< / span >   }< / div >
< div class = "line" > < a name = "l00119" > < / a > < span class = "lineno" > 119< / span >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00120" > < / a > < span class = "lineno" > 120< / span >   < span class = "preprocessor" > < / span > };< / div >
< div class = "line" > < a name = "l00121" > < / a > < span class = "lineno" > 121< / span >   < / div >
< div class = "line" > < a name = "l00122" > < / a > < span class = "lineno" > 122< / span >   < / div >
< div class = "line" > < a name = "l00123" > < / a > < span class = "lineno" > 123< / span >   < / div >
< div class = "line" > < a name = "l00124" > < / a > < span class = "lineno" > 124< / span >   < span class = "comment" > /*******************************************************************< / span > < / div >
< div class = "line" > < a name = "l00125" > < / a > < span class = "lineno" > 125< / span >   < span class = "comment" > * Quantizer: normalizes scalar vector components, then passes them< / span > < / div >
< div class = "line" > < a name = "l00126" > < / a > < span class = "lineno" > 126< / span >   < span class = "comment" > * through a codec< / span > < / div >
< div class = "line" > < a name = "l00127" > < / a > < span class = "lineno" > 127< / span >   < span class = "comment" > */< / span > < / div >
< div class = "line" > < a name = "l00128" > < / a > < span class = "lineno" > 128< / span >   < / div >
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< div class = "line" > < a name = "l00129" > < / a > < span class = "lineno" > 129< / span >   < / div >
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< div class = "line" > < a name = "l00130" > < / a > < span class = "lineno" > 130< / span >   < / div >
< div class = "line" > < a name = "l00131" > < / a > < span class = "lineno" > 131< / span >   < span class = "keyword" > struct < / span > Quantizer {< / div >
< div class = "line" > < a name = "l00132" > < / a > < span class = "lineno" > 132< / span >   < span class = "keyword" > virtual< / span > < span class = "keywordtype" > void< / span > encode_vector(< span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *x, uint8_t *code) < span class = "keyword" > const< / span > = 0;< / div >
< div class = "line" > < a name = "l00133" > < / a > < span class = "lineno" > 133< / span >   < span class = "keyword" > virtual< / span > < span class = "keywordtype" > void< / span > decode_vector(< span class = "keyword" > const< / span > uint8_t *code, < span class = "keywordtype" > float< / span > *x) < span class = "keyword" > const< / span > = 0;< / div >
< div class = "line" > < a name = "l00134" > < / a > < span class = "lineno" > 134< / span >   < / div >
< div class = "line" > < a name = "l00135" > < / a > < span class = "lineno" > 135< / span >   < / div >
< div class = "line" > < a name = "l00136" > < / a > < span class = "lineno" > 136< / span >   < span class = "keyword" > virtual< / span > ~Quantizer() {}< / div >
< div class = "line" > < a name = "l00137" > < / a > < span class = "lineno" > 137< / span >   };< / div >
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< div class = "line" > < a name = "l00138" > < / a > < span class = "lineno" > 138< / span >   < / div >
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< div class = "line" > < a name = "l00139" > < / a > < span class = "lineno" > 139< / span >   < / div >
< div class = "line" > < a name = "l00140" > < / a > < span class = "lineno" > 140< / span >   < / div >
< div class = "line" > < a name = "l00141" > < / a > < span class = "lineno" > 141< / span >   < / div >
< div class = "line" > < a name = "l00142" > < / a > < span class = "lineno" > 142< / span >   < / div >
< div class = "line" > < a name = "l00143" > < / a > < span class = "lineno" > 143< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > class< / span > Codec> < / div >
< div class = "line" > < a name = "l00144" > < / a > < span class = "lineno" > 144< / span >   < span class = "keyword" > struct < / span > QuantizerUniform: Quantizer {< / div >
< div class = "line" > < a name = "l00145" > < / a > < span class = "lineno" > 145< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > size_t< / span > d;< / div >
< div class = "line" > < a name = "l00146" > < / a > < span class = "lineno" > 146< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > vmin, vdiff;< / div >
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< div class = "line" > < a name = "l00147" > < / a > < span class = "lineno" > 147< / span >   < / div >
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< div class = "line" > < a name = "l00148" > < / a > < span class = "lineno" > 148< / span >   QuantizerUniform(< span class = "keywordtype" > size_t< / span > d, < span class = "keyword" > const< / span > std::vector< float> & trained):< / div >
< div class = "line" > < a name = "l00149" > < / a > < span class = "lineno" > 149< / span >   d(d), vmin(trained[0]), vdiff(trained[1])< / div >
< div class = "line" > < a name = "l00150" > < / a > < span class = "lineno" > 150< / span >   {< / div >
< div class = "line" > < a name = "l00151" > < / a > < span class = "lineno" > 151< / span >   }< / div >
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< div class = "line" > < a name = "l00152" > < / a > < span class = "lineno" > 152< / span >   < / div >
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< div class = "line" > < a name = "l00153" > < / a > < span class = "lineno" > 153< / span >   < span class = "keywordtype" > void< / span > encode_vector(< span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > * x, uint8_t* code)< span class = "keyword" > const override < / span > {< / div >
< div class = "line" > < a name = "l00154" > < / a > < span class = "lineno" > 154< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < d; i++) {< / div >
< div class = "line" > < a name = "l00155" > < / a > < span class = "lineno" > 155< / span >   < span class = "keywordtype" > float< / span > xi = (x[i] - vmin) / vdiff;< / div >
< div class = "line" > < a name = "l00156" > < / a > < span class = "lineno" > 156< / span >   < span class = "keywordflow" > if< / span > (xi < 0)< / div >
< div class = "line" > < a name = "l00157" > < / a > < span class = "lineno" > 157< / span >   xi = 0;< / div >
< div class = "line" > < a name = "l00158" > < / a > < span class = "lineno" > 158< / span >   < span class = "keywordflow" > if< / span > (xi > 1.0)< / div >
< div class = "line" > < a name = "l00159" > < / a > < span class = "lineno" > 159< / span >   xi = 1.0;< / div >
< div class = "line" > < a name = "l00160" > < / a > < span class = "lineno" > 160< / span >   Codec::encode_component(xi, code, i);< / div >
< div class = "line" > < a name = "l00161" > < / a > < span class = "lineno" > 161< / span >   }< / div >
< div class = "line" > < a name = "l00162" > < / a > < span class = "lineno" > 162< / span >   }< / 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 >   < span class = "keywordtype" > void< / span > decode_vector(< span class = "keyword" > const< / span > uint8_t* code, < span class = "keywordtype" > float< / span > * x)< span class = "keyword" > const override < / span > {< / div >
< div class = "line" > < a name = "l00165" > < / a > < span class = "lineno" > 165< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < d; i++) {< / div >
< div class = "line" > < a name = "l00166" > < / a > < span class = "lineno" > 166< / span >   < span class = "keywordtype" > float< / span > xi = Codec::decode_component(code, i);< / div >
< div class = "line" > < a name = "l00167" > < / a > < span class = "lineno" > 167< / span >   x[i] = vmin + xi * vdiff;< / div >
< div class = "line" > < a name = "l00168" > < / a > < span class = "lineno" > 168< / 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 >   < / div >
< div class = "line" > < a name = "l00171" > < / a > < span class = "lineno" > 171< / span >   < span class = "keywordtype" > float< / span > reconstruct_component (< span class = "keyword" > const< / span > uint8_t * code, < span class = "keywordtype" > int< / span > i)< span class = "keyword" > const< / span > < / div >
< div class = "line" > < a name = "l00172" > < / a > < span class = "lineno" > 172< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00173" > < / a > < span class = "lineno" > 173< / span >   < span class = "keywordtype" > float< / span > xi = Codec::decode_component (code, i);< / div >
< div class = "line" > < a name = "l00174" > < / a > < span class = "lineno" > 174< / span >   < span class = "keywordflow" > return< / span > vmin + xi * vdiff;< / 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 >   < / div >
< div class = "line" > < a name = "l00177" > < / a > < span class = "lineno" > 177< / span >   };< / div >
< div class = "line" > < a name = "l00178" > < / a > < span class = "lineno" > 178< / span >   < / div >
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< div class = "line" > < a name = "l00179" > < / a > < span class = "lineno" > 179< / span >   < / div >
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< 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 = "preprocessor" > #ifdef USE_AVX< / span > < / div >
< div class = "line" > < a name = "l00182" > < / a > < span class = "lineno" > 182< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00183" > < / a > < span class = "lineno" > 183< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > class< / span > Codec> < / div >
< div class = "line" > < a name = "l00184" > < / a > < span class = "lineno" > 184< / span >   < span class = "keyword" > struct < / span > QuantizerUniform8: QuantizerUniform< Codec> {< / div >
< div class = "line" > < a name = "l00185" > < / a > < span class = "lineno" > 185< / span >   < / div >
< div class = "line" > < a name = "l00186" > < / a > < span class = "lineno" > 186< / span >   QuantizerUniform8 (< span class = "keywordtype" > size_t< / span > d, < span class = "keyword" > const< / span > std::vector< float> & trained):< / div >
< div class = "line" > < a name = "l00187" > < / a > < span class = "lineno" > 187< / span >   QuantizerUniform< Codec> (d, trained) {}< / div >
< div class = "line" > < a name = "l00188" > < / a > < span class = "lineno" > 188< / span >   < / div >
< div class = "line" > < a name = "l00189" > < / a > < span class = "lineno" > 189< / span >   __m256 reconstruct_8_components (< span class = "keyword" > const< / span > uint8_t * code, < span class = "keywordtype" > int< / span > i)< span class = "keyword" > const< / span > < / div >
< div class = "line" > < a name = "l00190" > < / a > < span class = "lineno" > 190< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00191" > < / a > < span class = "lineno" > 191< / span >   __m256 xi = Codec::decode_8_components (code, i);< / div >
< div class = "line" > < a name = "l00192" > < / a > < span class = "lineno" > 192< / span >   < span class = "keywordflow" > return< / span > _mm256_set1_ps(this-> vmin) + xi * _mm256_set1_ps (this-> vdiff);< / div >
< div class = "line" > < a name = "l00193" > < / a > < span class = "lineno" > 193< / span >   }< / div >
< div class = "line" > < a name = "l00194" > < / a > < span class = "lineno" > 194< / span >   < / div >
< div class = "line" > < a name = "l00195" > < / a > < span class = "lineno" > 195< / span >   };< / div >
< div class = "line" > < a name = "l00196" > < / a > < span class = "lineno" > 196< / span >   < / div >
< div class = "line" > < a name = "l00197" > < / a > < span class = "lineno" > 197< / span >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00198" > < / a > < span class = "lineno" > 198< / span >   < span class = "preprocessor" > < / span > < / div >
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< div class = "line" > < a name = "l00199" > < / a > < span class = "lineno" > 199< / span >   < / div >
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< 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 >   < span class = "keyword" > template< / span > < < span class = "keyword" > class< / span > Codec> < / div >
< div class = "line" > < a name = "l00202" > < / a > < span class = "lineno" > 202< / span >   < span class = "keyword" > struct < / span > QuantizerNonUniform: Quantizer {< / div >
< div class = "line" > < a name = "l00203" > < / a > < span class = "lineno" > 203< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > size_t< / span > d;< / div >
< div class = "line" > < a name = "l00204" > < / a > < span class = "lineno" > 204< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *vmin, *vdiff;< / div >
< div class = "line" > < a name = "l00205" > < / a > < span class = "lineno" > 205< / span >   < / div >
< div class = "line" > < a name = "l00206" > < / a > < span class = "lineno" > 206< / span >   QuantizerNonUniform(< span class = "keywordtype" > size_t< / span > d, < span class = "keyword" > const< / span > std::vector< float> & trained):< / div >
< div class = "line" > < a name = "l00207" > < / a > < span class = "lineno" > 207< / span >   d(d), vmin(trained.data()), vdiff(trained.data() + d) {}< / div >
< div class = "line" > < a name = "l00208" > < / a > < span class = "lineno" > 208< / span >   < / div >
< div class = "line" > < a name = "l00209" > < / a > < span class = "lineno" > 209< / span >   < span class = "keywordtype" > void< / span > encode_vector(< span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > * x, uint8_t* code)< span class = "keyword" > const override < / span > {< / div >
< div class = "line" > < a name = "l00210" > < / a > < span class = "lineno" > 210< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < d; i++) {< / div >
< div class = "line" > < a name = "l00211" > < / a > < span class = "lineno" > 211< / span >   < span class = "keywordtype" > float< / span > xi = (x[i] - vmin[i]) / vdiff[i];< / div >
< div class = "line" > < a name = "l00212" > < / a > < span class = "lineno" > 212< / span >   < span class = "keywordflow" > if< / span > (xi < 0)< / div >
< div class = "line" > < a name = "l00213" > < / a > < span class = "lineno" > 213< / span >   xi = 0;< / div >
< div class = "line" > < a name = "l00214" > < / a > < span class = "lineno" > 214< / span >   < span class = "keywordflow" > if< / span > (xi > 1.0)< / div >
< div class = "line" > < a name = "l00215" > < / a > < span class = "lineno" > 215< / span >   xi = 1.0;< / div >
< div class = "line" > < a name = "l00216" > < / a > < span class = "lineno" > 216< / span >   Codec::encode_component(xi, code, i);< / div >
< div class = "line" > < a name = "l00217" > < / a > < span class = "lineno" > 217< / span >   }< / div >
< div class = "line" > < a name = "l00218" > < / a > < span class = "lineno" > 218< / span >   }< / 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 = "keywordtype" > void< / span > decode_vector(< span class = "keyword" > const< / span > uint8_t* code, < span class = "keywordtype" > float< / span > * x)< span class = "keyword" > const override < / span > {< / div >
< div class = "line" > < a name = "l00221" > < / a > < span class = "lineno" > 221< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < d; i++) {< / div >
< div class = "line" > < a name = "l00222" > < / a > < span class = "lineno" > 222< / span >   < span class = "keywordtype" > float< / span > xi = Codec::decode_component(code, i);< / div >
< div class = "line" > < a name = "l00223" > < / a > < span class = "lineno" > 223< / span >   x[i] = vmin[i] + xi * vdiff[i];< / div >
< div class = "line" > < a name = "l00224" > < / a > < span class = "lineno" > 224< / span >   }< / div >
< div class = "line" > < a name = "l00225" > < / a > < span class = "lineno" > 225< / span >   }< / 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 = "keywordtype" > float< / span > reconstruct_component (< span class = "keyword" > const< / span > uint8_t * code, < span class = "keywordtype" > int< / span > i)< span class = "keyword" > const< / span > < / div >
< div class = "line" > < a name = "l00228" > < / a > < span class = "lineno" > 228< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00229" > < / a > < span class = "lineno" > 229< / span >   < span class = "keywordtype" > float< / span > xi = Codec::decode_component (code, i);< / div >
< div class = "line" > < a name = "l00230" > < / a > < span class = "lineno" > 230< / span >   < span class = "keywordflow" > return< / span > vmin[i] + xi * vdiff[i];< / div >
< div class = "line" > < a name = "l00231" > < / a > < span class = "lineno" > 231< / span >   }< / div >
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< div class = "line" > < a name = "l00232" > < / a > < span class = "lineno" > 232< / span >   < / div >
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< div class = "line" > < a name = "l00233" > < / a > < span class = "lineno" > 233< / span >   };< / div >
< div class = "line" > < a name = "l00234" > < / a > < span class = "lineno" > 234< / span >   < / 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 = "preprocessor" > #ifdef USE_AVX< / span > < / div >
< div class = "line" > < a name = "l00237" > < / a > < span class = "lineno" > 237< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00238" > < / a > < span class = "lineno" > 238< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > class< / span > Codec> < / div >
< div class = "line" > < a name = "l00239" > < / a > < span class = "lineno" > 239< / span >   < span class = "keyword" > struct < / span > QuantizerNonUniform8: QuantizerNonUniform< Codec> {< / div >
< div class = "line" > < a name = "l00240" > < / a > < span class = "lineno" > 240< / span >   < / div >
< div class = "line" > < a name = "l00241" > < / a > < span class = "lineno" > 241< / span >   QuantizerNonUniform8 (< span class = "keywordtype" > size_t< / span > d, < span class = "keyword" > const< / span > std::vector< float> & trained):< / div >
< div class = "line" > < a name = "l00242" > < / a > < span class = "lineno" > 242< / span >   QuantizerNonUniform< Codec> (d, trained) {}< / div >
< div class = "line" > < a name = "l00243" > < / a > < span class = "lineno" > 243< / span >   < / div >
< div class = "line" > < a name = "l00244" > < / a > < span class = "lineno" > 244< / span >   __m256 reconstruct_8_components (< span class = "keyword" > const< / span > uint8_t * code, < span class = "keywordtype" > int< / span > i)< span class = "keyword" > const< / span > < / div >
< div class = "line" > < a name = "l00245" > < / a > < span class = "lineno" > 245< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00246" > < / a > < span class = "lineno" > 246< / span >   __m256 xi = Codec::decode_8_components (code, i);< / div >
< div class = "line" > < a name = "l00247" > < / a > < span class = "lineno" > 247< / span >   < span class = "keywordflow" > return< / span > _mm256_loadu_ps (this-> vmin + i) + xi * _mm256_loadu_ps (this-> vdiff + i);< / 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 >   < / div >
< div class = "line" > < a name = "l00250" > < / a > < span class = "lineno" > 250< / span >   < / div >
< div class = "line" > < a name = "l00251" > < / a > < span class = "lineno" > 251< / span >   };< / div >
< div class = "line" > < a name = "l00252" > < / a > < span class = "lineno" > 252< / span >   < / div >
< div class = "line" > < a name = "l00253" > < / a > < span class = "lineno" > 253< / span >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00254" > < / a > < span class = "lineno" > 254< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00255" > < / a > < span class = "lineno" > 255< / span >   Quantizer *select_quantizer (< / div >
< div class = "line" > < a name = "l00256" > < / a > < span class = "lineno" > 256< / span >   QuantizerType qtype,< / div >
< div class = "line" > < a name = "l00257" > < / a > < span class = "lineno" > 257< / span >   < span class = "keywordtype" > size_t< / span > d, < span class = "keyword" > const< / span > std::vector< float> & trained)< / div >
< div class = "line" > < a name = "l00258" > < / a > < span class = "lineno" > 258< / span >   {< / div >
< div class = "line" > < a name = "l00259" > < / a > < span class = "lineno" > 259< / span >   < span class = "preprocessor" > #ifdef USE_AVX< / span > < / div >
< div class = "line" > < a name = "l00260" > < / a > < span class = "lineno" > 260< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > if< / span > (d % 8 == 0) {< / div >
< div class = "line" > < a name = "l00261" > < / a > < span class = "lineno" > 261< / span >   < span class = "keywordflow" > switch< / span > (qtype) {< / div >
< div class = "line" > < a name = "l00262" > < / a > < span class = "lineno" > 262< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c" > ScalarQuantizer::QT_8bit< / a > :< / div >
< div class = "line" > < a name = "l00263" > < / a > < span class = "lineno" > 263< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > QuantizerNonUniform8< Codec8bit> (d, trained);< / div >
< div class = "line" > < a name = "l00264" > < / a > < span class = "lineno" > 264< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b" > ScalarQuantizer::QT_4bit< / a > :< / div >
< div class = "line" > < a name = "l00265" > < / a > < span class = "lineno" > 265< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > QuantizerNonUniform8< Codec4bit> (d, trained);< / div >
< div class = "line" > < a name = "l00266" > < / a > < span class = "lineno" > 266< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a" > ScalarQuantizer::QT_8bit_uniform< / a > :< / div >
< div class = "line" > < a name = "l00267" > < / a > < span class = "lineno" > 267< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > QuantizerUniform8< Codec8bit> (d, trained);< / div >
< div class = "line" > < a name = "l00268" > < / a > < span class = "lineno" > 268< / span >   < span class = "keywordflow" > case< / span > ScalarQuantizer::QT_4bit_uniform:< / div >
< div class = "line" > < a name = "l00269" > < / a > < span class = "lineno" > 269< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > QuantizerUniform8< Codec4bit> (d, trained);< / div >
< div class = "line" > < a name = "l00270" > < / a > < span class = "lineno" > 270< / span >   }< / div >
< div class = "line" > < a name = "l00271" > < / a > < span class = "lineno" > 271< / span >   } < span class = "keywordflow" > else< / span > < / div >
< div class = "line" > < a name = "l00272" > < / a > < span class = "lineno" > 272< / span >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00273" > < / a > < span class = "lineno" > 273< / span >   < span class = "preprocessor" > < / span > {< / div >
< div class = "line" > < a name = "l00274" > < / a > < span class = "lineno" > 274< / span >   < span class = "keywordflow" > switch< / span > (qtype) {< / div >
< div class = "line" > < a name = "l00275" > < / a > < span class = "lineno" > 275< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c" > ScalarQuantizer::QT_8bit< / a > :< / div >
< div class = "line" > < a name = "l00276" > < / a > < span class = "lineno" > 276< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > QuantizerNonUniform< Codec8bit> (d, trained);< / div >
< div class = "line" > < a name = "l00277" > < / a > < span class = "lineno" > 277< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b" > ScalarQuantizer::QT_4bit< / a > :< / div >
< div class = "line" > < a name = "l00278" > < / a > < span class = "lineno" > 278< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > QuantizerNonUniform< Codec4bit> (d, trained);< / div >
< div class = "line" > < a name = "l00279" > < / a > < span class = "lineno" > 279< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a" > ScalarQuantizer::QT_8bit_uniform< / a > :< / div >
< div class = "line" > < a name = "l00280" > < / a > < span class = "lineno" > 280< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > QuantizerUniform< Codec8bit> (d, trained);< / div >
< div class = "line" > < a name = "l00281" > < / a > < span class = "lineno" > 281< / span >   < span class = "keywordflow" > case< / span > ScalarQuantizer::QT_4bit_uniform:< / div >
< div class = "line" > < a name = "l00282" > < / a > < span class = "lineno" > 282< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > QuantizerUniform< Codec4bit> (d, trained);< / div >
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< div class = "line" > < a name = "l00283" > < / a > < span class = "lineno" > 283< / span >   }< / div >
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< 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 >   FAISS_THROW_MSG (< span class = "stringliteral" > " unknown qtype" < / span > );< / div >
< div class = "line" > < a name = "l00286" > < / a > < span class = "lineno" > 286< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > nullptr< / span > ;< / div >
< div class = "line" > < a name = "l00287" > < / a > < span class = "lineno" > 287< / span >   }< / 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 >   Quantizer *select_quantizer (< span class = "keyword" > const< / span > ScalarQuantizer & sq)< / div >
< div class = "line" > < a name = "l00291" > < / a > < span class = "lineno" > 291< / span >   {< / div >
< div class = "line" > < a name = "l00292" > < / a > < span class = "lineno" > 292< / span >   < span class = "keywordflow" > return< / span > select_quantizer (sq.qtype, sq.d, sq.trained);< / div >
< div class = "line" > < a name = "l00293" > < / a > < span class = "lineno" > 293< / span >   }< / div >
< div class = "line" > < a name = "l00294" > < / a > < span class = "lineno" > 294< / span >   < / div >
< div class = "line" > < a name = "l00295" > < / a > < span class = "lineno" > 295< / span >   < / div >
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< div class = "line" > < a name = "l00296" > < / a > < span class = "lineno" > 296< / span >   < / div >
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< 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 >   < span class = "comment" > /*******************************************************************< / span > < / div >
< div class = "line" > < a name = "l00299" > < / a > < span class = "lineno" > 299< / span >   < span class = "comment" > * Quantizer range training< / span > < / div >
< div class = "line" > < a name = "l00300" > < / a > < span class = "lineno" > 300< / span >   < span class = "comment" > */< / 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 >   < span class = "keyword" > static< / span > < span class = "keywordtype" > float< / span > sqr (< span class = "keywordtype" > float< / span > x) {< / div >
< div class = "line" > < a name = "l00303" > < / a > < span class = "lineno" > 303< / span >   < span class = "keywordflow" > return< / span > x * x;< / div >
< div class = "line" > < a name = "l00304" > < / a > < span class = "lineno" > 304< / span >   }< / div >
< div class = "line" > < a name = "l00305" > < / a > < span class = "lineno" > 305< / span >   < / div >
< div class = "line" > < a name = "l00306" > < / a > < span class = "lineno" > 306< / span >   < / div >
< div class = "line" > < a name = "l00307" > < / a > < span class = "lineno" > 307< / span >   < span class = "keywordtype" > void< / span > train_Uniform(RangeStat rs, < span class = "keywordtype" > float< / span > rs_arg,< / div >
< div class = "line" > < a name = "l00308" > < / a > < span class = "lineno" > 308< / span >   idx_t n, < span class = "keywordtype" > int< / span > k, < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *x,< / div >
< div class = "line" > < a name = "l00309" > < / a > < span class = "lineno" > 309< / span >   std::vector< float> & trained)< / div >
< div class = "line" > < a name = "l00310" > < / a > < span class = "lineno" > 310< / span >   {< / div >
< div class = "line" > < a name = "l00311" > < / a > < span class = "lineno" > 311< / span >   trained.resize (2);< / div >
< div class = "line" > < a name = "l00312" > < / a > < span class = "lineno" > 312< / span >   < span class = "keywordtype" > float< / span > & vmin = trained[0];< / div >
< div class = "line" > < a name = "l00313" > < / a > < span class = "lineno" > 313< / span >   < span class = "keywordtype" > float< / span > & vmax = trained[1];< / div >
< div class = "line" > < a name = "l00314" > < / a > < span class = "lineno" > 314< / span >   < / div >
< div class = "line" > < a name = "l00315" > < / a > < span class = "lineno" > 315< / span >   < span class = "keywordflow" > if< / span > (rs == < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06aa52f2f14616c61c04baf6323d43588fd" > ScalarQuantizer::RS_minmax< / a > ) {< / div >
< div class = "line" > < a name = "l00316" > < / a > < span class = "lineno" > 316< / span >   vmin = HUGE_VAL; vmax = -HUGE_VAL;< / div >
< div class = "line" > < a name = "l00317" > < / a > < span class = "lineno" > 317< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < n; i++) {< / div >
< div class = "line" > < a name = "l00318" > < / a > < span class = "lineno" > 318< / span >   < span class = "keywordflow" > if< / span > (x[i] < vmin) vmin = x[i];< / div >
< div class = "line" > < a name = "l00319" > < / a > < span class = "lineno" > 319< / span >   < span class = "keywordflow" > if< / span > (x[i] > vmax) vmax = x[i];< / div >
< div class = "line" > < a name = "l00320" > < / a > < span class = "lineno" > 320< / span >   }< / div >
< div class = "line" > < a name = "l00321" > < / a > < span class = "lineno" > 321< / span >   < span class = "keywordtype" > float< / span > vexp = (vmax - vmin) * rs_arg;< / div >
< div class = "line" > < a name = "l00322" > < / a > < span class = "lineno" > 322< / span >   vmin -= vexp;< / div >
< div class = "line" > < a name = "l00323" > < / a > < span class = "lineno" > 323< / span >   vmax += vexp;< / div >
< div class = "line" > < a name = "l00324" > < / a > < span class = "lineno" > 324< / span >   } < span class = "keywordflow" > else< / span > < span class = "keywordflow" > if< / span > (rs == < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06afb4b9f4ee9003fa0193e6de69632f7a0" > ScalarQuantizer::RS_meanstd< / a > ) {< / div >
< div class = "line" > < a name = "l00325" > < / a > < span class = "lineno" > 325< / span >   < span class = "keywordtype" > double< / span > sum = 0, sum2 = 0;< / div >
< div class = "line" > < a name = "l00326" > < / a > < span class = "lineno" > 326< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < n; i++) {< / div >
< div class = "line" > < a name = "l00327" > < / a > < span class = "lineno" > 327< / span >   sum += x[i];< / div >
< div class = "line" > < a name = "l00328" > < / a > < span class = "lineno" > 328< / span >   sum2 += x[i] * x[i];< / div >
< div class = "line" > < a name = "l00329" > < / a > < span class = "lineno" > 329< / span >   }< / div >
< div class = "line" > < a name = "l00330" > < / a > < span class = "lineno" > 330< / span >   < span class = "keywordtype" > float< / span > mean = sum / n;< / div >
< div class = "line" > < a name = "l00331" > < / a > < span class = "lineno" > 331< / span >   < span class = "keywordtype" > float< / span > var = sum2 / n - mean * mean;< / div >
< div class = "line" > < a name = "l00332" > < / a > < span class = "lineno" > 332< / span >   < span class = "keywordtype" > float< / span > std = var < = 0 ? 1.0 : sqrt(var);< / div >
< div class = "line" > < a name = "l00333" > < / a > < span class = "lineno" > 333< / span >   < / div >
< div class = "line" > < a name = "l00334" > < / a > < span class = "lineno" > 334< / span >   vmin = mean - std * rs_arg ;< / div >
< div class = "line" > < a name = "l00335" > < / a > < span class = "lineno" > 335< / span >   vmax = mean + std * rs_arg ;< / div >
< div class = "line" > < a name = "l00336" > < / a > < span class = "lineno" > 336< / span >   } < span class = "keywordflow" > else< / span > < span class = "keywordflow" > if< / span > (rs == < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06ae41cccec3a7acbcb3a47fa63c2bfb4c8" > ScalarQuantizer::RS_quantiles< / a > ) {< / div >
< div class = "line" > < a name = "l00337" > < / a > < span class = "lineno" > 337< / span >   std::vector< float> x_copy(n);< / div >
< div class = "line" > < a name = "l00338" > < / a > < span class = "lineno" > 338< / span >   memcpy(x_copy.data(), x, n * < span class = "keyword" > sizeof< / span > (*x));< / div >
< div class = "line" > < a name = "l00339" > < / a > < span class = "lineno" > 339< / span >   < span class = "comment" > // TODO just do a qucikselect< / span > < / div >
< div class = "line" > < a name = "l00340" > < / a > < span class = "lineno" > 340< / span >   std::sort(x_copy.begin(), x_copy.end());< / div >
< div class = "line" > < a name = "l00341" > < / a > < span class = "lineno" > 341< / span >   < span class = "keywordtype" > int< / span > o = int(rs_arg * n);< / div >
< div class = "line" > < a name = "l00342" > < / a > < span class = "lineno" > 342< / span >   < span class = "keywordflow" > if< / span > (o < 0) o = 0;< / div >
< div class = "line" > < a name = "l00343" > < / a > < span class = "lineno" > 343< / span >   < span class = "keywordflow" > if< / span > (o > n - o) o = n / 2;< / div >
< div class = "line" > < a name = "l00344" > < / a > < span class = "lineno" > 344< / span >   vmin = x_copy[o];< / div >
< div class = "line" > < a name = "l00345" > < / a > < span class = "lineno" > 345< / span >   vmax = x_copy[n - 1 - o];< / div >
< div class = "line" > < a name = "l00346" > < / a > < span class = "lineno" > 346< / span >   < / div >
< div class = "line" > < a name = "l00347" > < / a > < span class = "lineno" > 347< / span >   } < span class = "keywordflow" > else< / span > < span class = "keywordflow" > if< / span > (rs == < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06ab0709ff74c1b882b64a7fdd7ca5df9a3" > ScalarQuantizer::RS_optim< / a > ) {< / div >
< div class = "line" > < a name = "l00348" > < / a > < span class = "lineno" > 348< / span >   < span class = "keywordtype" > float< / span > a, b;< / div >
< div class = "line" > < a name = "l00349" > < / a > < span class = "lineno" > 349< / span >   < span class = "keywordtype" > float< / span > sx = 0;< / div >
< div class = "line" > < a name = "l00350" > < / a > < span class = "lineno" > 350< / span >   {< / div >
< div class = "line" > < a name = "l00351" > < / a > < span class = "lineno" > 351< / span >   vmin = HUGE_VAL, vmax = -HUGE_VAL;< / div >
< div class = "line" > < a name = "l00352" > < / a > < span class = "lineno" > 352< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < n; i++) {< / div >
< div class = "line" > < a name = "l00353" > < / a > < span class = "lineno" > 353< / span >   < span class = "keywordflow" > if< / span > (x[i] < vmin) vmin = x[i];< / div >
< div class = "line" > < a name = "l00354" > < / a > < span class = "lineno" > 354< / span >   < span class = "keywordflow" > if< / span > (x[i] > vmax) vmax = x[i];< / div >
< div class = "line" > < a name = "l00355" > < / a > < span class = "lineno" > 355< / span >   sx += x[i];< / div >
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< div class = "line" > < a name = "l00356" > < / a > < span class = "lineno" > 356< / span >   }< / div >
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< div class = "line" > < a name = "l00357" > < / a > < span class = "lineno" > 357< / span >   b = vmin;< / div >
< div class = "line" > < a name = "l00358" > < / a > < span class = "lineno" > 358< / span >   a = (vmax - vmin) / (k - 1);< / 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" > int< / span > verbose = < span class = "keyword" > false< / span > ;< / div >
< div class = "line" > < a name = "l00361" > < / a > < span class = "lineno" > 361< / span >   < span class = "keywordtype" > int< / span > niter = 2000;< / div >
< div class = "line" > < a name = "l00362" > < / a > < span class = "lineno" > 362< / span >   < span class = "keywordtype" > float< / span > last_err = -1;< / div >
< div class = "line" > < a name = "l00363" > < / a > < span class = "lineno" > 363< / span >   < span class = "keywordtype" > int< / span > iter_last_err = 0;< / div >
< div class = "line" > < a name = "l00364" > < / a > < span class = "lineno" > 364< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > it = 0; it < niter; it++) {< / div >
< div class = "line" > < a name = "l00365" > < / a > < span class = "lineno" > 365< / span >   < span class = "keywordtype" > float< / span > sn = 0, sn2 = 0, sxn = 0, err1 = 0;< / div >
< div class = "line" > < a name = "l00366" > < / a > < span class = "lineno" > 366< / span >   < / div >
< div class = "line" > < a name = "l00367" > < / a > < span class = "lineno" > 367< / span >   < span class = "keywordflow" > for< / span > (idx_t i = 0; i < n; i++) {< / div >
< div class = "line" > < a name = "l00368" > < / a > < span class = "lineno" > 368< / span >   < span class = "keywordtype" > float< / span > xi = x[i];< / div >
< div class = "line" > < a name = "l00369" > < / a > < span class = "lineno" > 369< / span >   < span class = "keywordtype" > float< / span > ni = floor ((xi - b) / a + 0.5);< / div >
< div class = "line" > < a name = "l00370" > < / a > < span class = "lineno" > 370< / span >   < span class = "keywordflow" > if< / span > (ni < 0) ni = 0;< / div >
< div class = "line" > < a name = "l00371" > < / a > < span class = "lineno" > 371< / span >   < span class = "keywordflow" > if< / span > (ni > = k) ni = k - 1;< / div >
< div class = "line" > < a name = "l00372" > < / a > < span class = "lineno" > 372< / span >   err1 += sqr (xi - (ni * a + b));< / div >
< div class = "line" > < a name = "l00373" > < / a > < span class = "lineno" > 373< / span >   sn += ni;< / div >
< div class = "line" > < a name = "l00374" > < / a > < span class = "lineno" > 374< / span >   sn2 += ni * ni;< / div >
< div class = "line" > < a name = "l00375" > < / a > < span class = "lineno" > 375< / span >   sxn += ni * xi;< / div >
< div class = "line" > < a name = "l00376" > < / a > < span class = "lineno" > 376< / span >   }< / div >
< div class = "line" > < a name = "l00377" > < / a > < span class = "lineno" > 377< / span >   < / div >
< div class = "line" > < a name = "l00378" > < / a > < span class = "lineno" > 378< / span >   < span class = "keywordflow" > if< / span > (err1 == last_err) {< / div >
< div class = "line" > < a name = "l00379" > < / a > < span class = "lineno" > 379< / span >   iter_last_err ++;< / div >
< div class = "line" > < a name = "l00380" > < / a > < span class = "lineno" > 380< / span >   < span class = "keywordflow" > if< / span > (iter_last_err == 16) < span class = "keywordflow" > break< / span > ;< / div >
< div class = "line" > < a name = "l00381" > < / a > < span class = "lineno" > 381< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00382" > < / a > < span class = "lineno" > 382< / span >   last_err = err1;< / div >
< div class = "line" > < a name = "l00383" > < / a > < span class = "lineno" > 383< / span >   iter_last_err = 0;< / div >
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< div class = "line" > < a name = "l00384" > < / a > < span class = "lineno" > 384< / span >   }< / div >
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< div class = "line" > < a name = "l00385" > < / a > < span class = "lineno" > 385< / span >   < / div >
< div class = "line" > < a name = "l00386" > < / a > < span class = "lineno" > 386< / span >   < span class = "keywordtype" > float< / span > det = sqr (sn) - sn2 * n;< / div >
< div class = "line" > < a name = "l00387" > < / a > < span class = "lineno" > 387< / span >   < / div >
< div class = "line" > < a name = "l00388" > < / a > < span class = "lineno" > 388< / span >   b = (sn * sxn - sn2 * sx) / det;< / div >
< div class = "line" > < a name = "l00389" > < / a > < span class = "lineno" > 389< / span >   a = (sn * sx - n * sxn) / det;< / div >
< div class = "line" > < a name = "l00390" > < / a > < span class = "lineno" > 390< / span >   < span class = "keywordflow" > if< / span > (verbose) {< / div >
< div class = "line" > < a name = "l00391" > < / a > < span class = "lineno" > 391< / span >   printf (< span class = "stringliteral" > " it %d, err1=%g \r" < / span > , it, err1);< / div >
< div class = "line" > < a name = "l00392" > < / a > < span class = "lineno" > 392< / span >   fflush(stdout);< / div >
< div class = "line" > < a name = "l00393" > < / a > < span class = "lineno" > 393< / span >   }< / div >
< div class = "line" > < a name = "l00394" > < / a > < span class = "lineno" > 394< / span >   }< / div >
< div class = "line" > < a name = "l00395" > < / a > < span class = "lineno" > 395< / span >   < span class = "keywordflow" > if< / span > (verbose) printf(< span class = "stringliteral" > " \n" < / span > );< / 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 >   vmin = b;< / div >
< div class = "line" > < a name = "l00398" > < / a > < span class = "lineno" > 398< / span >   vmax = b + a * (k - 1);< / div >
< div class = "line" > < a name = "l00399" > < / a > < span class = "lineno" > 399< / span >   < / div >
< div class = "line" > < a name = "l00400" > < / a > < span class = "lineno" > 400< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00401" > < / a > < span class = "lineno" > 401< / span >   FAISS_THROW_MSG (< span class = "stringliteral" > " Invalid qtype" < / span > );< / div >
< div class = "line" > < a name = "l00402" > < / a > < span class = "lineno" > 402< / span >   }< / div >
< div class = "line" > < a name = "l00403" > < / a > < span class = "lineno" > 403< / span >   vmax -= vmin;< / div >
< div class = "line" > < a name = "l00404" > < / a > < span class = "lineno" > 404< / span >   }< / div >
< div class = "line" > < a name = "l00405" > < / a > < span class = "lineno" > 405< / span >   < / div >
< div class = "line" > < a name = "l00406" > < / a > < span class = "lineno" > 406< / span >   < span class = "keywordtype" > void< / span > train_NonUniform(RangeStat rs, < span class = "keywordtype" > float< / span > rs_arg,< / div >
< div class = "line" > < a name = "l00407" > < / a > < span class = "lineno" > 407< / span >   idx_t n, < span class = "keywordtype" > int< / span > d, < span class = "keywordtype" > int< / span > k, < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *x,< / div >
< div class = "line" > < a name = "l00408" > < / a > < span class = "lineno" > 408< / span >   std::vector< float> & trained)< / div >
< div class = "line" > < a name = "l00409" > < / a > < span class = "lineno" > 409< / span >   {< / div >
< div class = "line" > < a name = "l00410" > < / a > < span class = "lineno" > 410< / span >   trained.resize (2 * d);< / div >
< div class = "line" > < a name = "l00411" > < / a > < span class = "lineno" > 411< / span >   < span class = "keywordtype" > float< / span > * vmin = trained.data();< / div >
< div class = "line" > < a name = "l00412" > < / a > < span class = "lineno" > 412< / span >   < span class = "keywordtype" > float< / span > * vmax = trained.data() + d;< / div >
< div class = "line" > < a name = "l00413" > < / a > < span class = "lineno" > 413< / span >   < span class = "keywordflow" > if< / span > (rs == < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06aa52f2f14616c61c04baf6323d43588fd" > ScalarQuantizer::RS_minmax< / a > ) {< / div >
< div class = "line" > < a name = "l00414" > < / a > < span class = "lineno" > 414< / span >   memcpy (vmin, x, < span class = "keyword" > sizeof< / span > (*x) * d);< / div >
< div class = "line" > < a name = "l00415" > < / a > < span class = "lineno" > 415< / span >   memcpy (vmax, x, < span class = "keyword" > sizeof< / span > (*x) * d);< / div >
< div class = "line" > < a name = "l00416" > < / a > < span class = "lineno" > 416< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 1; i < n; i++) {< / div >
< div class = "line" > < a name = "l00417" > < / a > < span class = "lineno" > 417< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *xi = x + i * d;< / div >
< div class = "line" > < a name = "l00418" > < / a > < span class = "lineno" > 418< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > j = 0; j < d; j++) {< / div >
< div class = "line" > < a name = "l00419" > < / a > < span class = "lineno" > 419< / span >   < span class = "keywordflow" > if< / span > (xi[j] < vmin[j]) vmin[j] = xi[j];< / div >
< div class = "line" > < a name = "l00420" > < / a > < span class = "lineno" > 420< / span >   < span class = "keywordflow" > if< / span > (xi[j] > vmax[j]) vmax[j] = xi[j];< / div >
< div class = "line" > < a name = "l00421" > < / a > < span class = "lineno" > 421< / span >   }< / 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 = "keywordtype" > float< / span > *vdiff = vmax;< / div >
< div class = "line" > < a name = "l00424" > < / a > < span class = "lineno" > 424< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > j = 0; j < d; j++) {< / div >
< div class = "line" > < a name = "l00425" > < / a > < span class = "lineno" > 425< / span >   < span class = "keywordtype" > float< / span > vexp = (vmax[j] - vmin[j]) * rs_arg;< / div >
< div class = "line" > < a name = "l00426" > < / a > < span class = "lineno" > 426< / span >   vmin[j] -= vexp;< / div >
< div class = "line" > < a name = "l00427" > < / a > < span class = "lineno" > 427< / span >   vmax[j] += vexp;< / div >
< div class = "line" > < a name = "l00428" > < / a > < span class = "lineno" > 428< / span >   vdiff [j] = vmax[j] - vmin[j];< / 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 >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00431" > < / a > < span class = "lineno" > 431< / span >   < span class = "comment" > // transpose< / span > < / div >
< div class = "line" > < a name = "l00432" > < / a > < span class = "lineno" > 432< / span >   std::vector< float> xt(n * d);< / div >
< div class = "line" > < a name = "l00433" > < / a > < span class = "lineno" > 433< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 1; i < n; i++) {< / div >
< div class = "line" > < a name = "l00434" > < / a > < span class = "lineno" > 434< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *xi = x + i * d;< / div >
< div class = "line" > < a name = "l00435" > < / a > < span class = "lineno" > 435< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > j = 0; j < d; j++) {< / div >
< div class = "line" > < a name = "l00436" > < / a > < span class = "lineno" > 436< / span >   xt[j * n + i] = xi[j];< / div >
< div class = "line" > < a name = "l00437" > < / a > < span class = "lineno" > 437< / span >   }< / div >
< div class = "line" > < a name = "l00438" > < / a > < span class = "lineno" > 438< / span >   }< / div >
< div class = "line" > < a name = "l00439" > < / a > < span class = "lineno" > 439< / span >   std::vector< float> trained_d(2);< / div >
< div class = "line" > < a name = "l00440" > < / a > < span class = "lineno" > 440< / span >   < span class = "preprocessor" > #pragma omp parallel for< / span > < / div >
< div class = "line" > < a name = "l00441" > < / a > < span class = "lineno" > 441< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > j = 0; j < d; j++) {< / div >
< div class = "line" > < a name = "l00442" > < / a > < span class = "lineno" > 442< / span >   train_Uniform(rs, rs_arg,< / div >
< div class = "line" > < a name = "l00443" > < / a > < span class = "lineno" > 443< / span >   n, k, xt.data() + j * n,< / div >
< div class = "line" > < a name = "l00444" > < / a > < span class = "lineno" > 444< / span >   trained_d);< / div >
< div class = "line" > < a name = "l00445" > < / a > < span class = "lineno" > 445< / span >   vmin[j] = trained_d[0];< / div >
< div class = "line" > < a name = "l00446" > < / a > < span class = "lineno" > 446< / span >   vmax[j] = trained_d[1];< / div >
< div class = "line" > < a name = "l00447" > < / a > < span class = "lineno" > 447< / span >   }< / div >
< div class = "line" > < a name = "l00448" > < / a > < span class = "lineno" > 448< / span >   }< / div >
< div class = "line" > < a name = "l00449" > < / a > < span class = "lineno" > 449< / span >   }< / div >
< div class = "line" > < a name = "l00450" > < / a > < span class = "lineno" > 450< / span >   < / div >
< div class = "line" > < a name = "l00451" > < / a > < span class = "lineno" > 451< / span >   < / div >
< div class = "line" > < a name = "l00452" > < / a > < span class = "lineno" > 452< / span >   < / div >
< div class = "line" > < a name = "l00453" > < / a > < span class = "lineno" > 453< / span >   < span class = "comment" > /*******************************************************************< / span > < / div >
< div class = "line" > < a name = "l00454" > < / a > < span class = "lineno" > 454< / span >   < span class = "comment" > * Similarity: gets vector components and computes a similarity wrt. a< / span > < / div >
< div class = "line" > < a name = "l00455" > < / a > < span class = "lineno" > 455< / span >   < span class = "comment" > * query vector stored in the object. The data fields just encapsulate< / span > < / div >
< div class = "line" > < a name = "l00456" > < / a > < span class = "lineno" > 456< / span >   < span class = "comment" > * an accumulator.< / span > < / div >
< div class = "line" > < a name = "l00457" > < / a > < span class = "lineno" > 457< / span >   < span class = "comment" > */< / span > < / div >
< div class = "line" > < a name = "l00458" > < / a > < span class = "lineno" > 458< / span >   < / div >
< div class = "line" > < a name = "l00459" > < / a > < span class = "lineno" > 459< / span >   < span class = "keyword" > struct < / span > SimilarityL2 {< / div >
< div class = "line" > < a name = "l00460" > < / a > < span class = "lineno" > 460< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *y, *yi;< / 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 = "keyword" > explicit< / span > SimilarityL2 (< span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > * y): y(y) {}< / div >
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< div class = "line" > < a name = "l00463" > < / a > < span class = "lineno" > 463< / span >   < / div >
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< div class = "line" > < a name = "l00464" > < / a > < span class = "lineno" > 464< / span >   < span class = "comment" > /******* scalar accumulator *******/< / span > < / div >
< div class = "line" > < a name = "l00465" > < / a > < span class = "lineno" > 465< / span >   < / div >
< div class = "line" > < a name = "l00466" > < / a > < span class = "lineno" > 466< / span >   < span class = "keywordtype" > float< / span > accu;< / div >
< div class = "line" > < a name = "l00467" > < / a > < span class = "lineno" > 467< / span >   < / div >
< div class = "line" > < a name = "l00468" > < / a > < span class = "lineno" > 468< / span >   < span class = "keywordtype" > void< / span > begin () {< / div >
< div class = "line" > < a name = "l00469" > < / a > < span class = "lineno" > 469< / span >   accu = 0;< / div >
< div class = "line" > < a name = "l00470" > < / a > < span class = "lineno" > 470< / span >   yi = y;< / div >
< div class = "line" > < a name = "l00471" > < / a > < span class = "lineno" > 471< / span >   }< / div >
< div class = "line" > < a name = "l00472" > < / a > < span class = "lineno" > 472< / span >   < / div >
< div class = "line" > < a name = "l00473" > < / a > < span class = "lineno" > 473< / span >   < span class = "keywordtype" > void< / span > add_component (< span class = "keywordtype" > float< / span > x) {< / div >
< div class = "line" > < a name = "l00474" > < / a > < span class = "lineno" > 474< / span >   < span class = "keywordtype" > float< / span > tmp = *yi++ - x;< / div >
< div class = "line" > < a name = "l00475" > < / a > < span class = "lineno" > 475< / span >   accu += tmp * tmp;< / 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 >   < / div >
< div class = "line" > < a name = "l00478" > < / a > < span class = "lineno" > 478< / span >   < span class = "keywordtype" > void< / span > add_component_2 (< span class = "keywordtype" > float< / span > x1, < span class = "keywordtype" > float< / span > x2) {< / div >
< div class = "line" > < a name = "l00479" > < / a > < span class = "lineno" > 479< / span >   < span class = "keywordtype" > float< / span > tmp = x1 - x2;< / div >
< div class = "line" > < a name = "l00480" > < / a > < span class = "lineno" > 480< / span >   accu += tmp * tmp;< / div >
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< div class = "line" > < a name = "l00481" > < / a > < span class = "lineno" > 481< / span >   }< / div >
< div class = "line" > < a name = "l00482" > < / a > < span class = "lineno" > 482< / span >   < / div >
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< div class = "line" > < a name = "l00483" > < / a > < span class = "lineno" > 483< / span >   < span class = "keywordtype" > float< / span > result () {< / div >
< div class = "line" > < a name = "l00484" > < / a > < span class = "lineno" > 484< / span >   < span class = "keywordflow" > return< / span > accu;< / div >
< div class = "line" > < a name = "l00485" > < / a > < span class = "lineno" > 485< / span >   }< / div >
< div class = "line" > < a name = "l00486" > < / a > < span class = "lineno" > 486< / span >   < / div >
< div class = "line" > < a name = "l00487" > < / a > < span class = "lineno" > 487< / span >   < span class = "preprocessor" > #ifdef USE_AVX< / span > < / div >
< div class = "line" > < a name = "l00488" > < / a > < span class = "lineno" > 488< / span >   < span class = "preprocessor" > < / span > __m256 accu8;< / div >
< div class = "line" > < a name = "l00489" > < / a > < span class = "lineno" > 489< / span >   < / div >
< div class = "line" > < a name = "l00490" > < / a > < span class = "lineno" > 490< / span >   < span class = "keywordtype" > void< / span > begin_8 () {< / div >
< div class = "line" > < a name = "l00491" > < / a > < span class = "lineno" > 491< / span >   accu8 = _mm256_setzero_ps();< / div >
< div class = "line" > < a name = "l00492" > < / a > < span class = "lineno" > 492< / span >   yi = y;< / div >
< div class = "line" > < a name = "l00493" > < / a > < span class = "lineno" > 493< / span >   }< / div >
< div class = "line" > < a name = "l00494" > < / a > < span class = "lineno" > 494< / span >   < / div >
< div class = "line" > < a name = "l00495" > < / a > < span class = "lineno" > 495< / span >   < span class = "keywordtype" > void< / span > add_8_components (__m256 x) {< / div >
< div class = "line" > < a name = "l00496" > < / a > < span class = "lineno" > 496< / span >   __m256 yiv = _mm256_loadu_ps (yi);< / div >
< div class = "line" > < a name = "l00497" > < / a > < span class = "lineno" > 497< / span >   yi += 8;< / div >
< div class = "line" > < a name = "l00498" > < / a > < span class = "lineno" > 498< / span >   __m256 tmp = yiv - x;< / div >
< div class = "line" > < a name = "l00499" > < / a > < span class = "lineno" > 499< / span >   accu8 += tmp * tmp;< / div >
< div class = "line" > < a name = "l00500" > < / a > < span class = "lineno" > 500< / span >   }< / 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 = "keywordtype" > void< / span > add_8_components_2 (__m256 x, __m256 y) {< / div >
< div class = "line" > < a name = "l00503" > < / a > < span class = "lineno" > 503< / span >   __m256 tmp = y - x;< / div >
< div class = "line" > < a name = "l00504" > < / a > < span class = "lineno" > 504< / span >   accu8 += tmp * tmp;< / div >
< div class = "line" > < a name = "l00505" > < / a > < span class = "lineno" > 505< / span >   }< / div >
< div class = "line" > < a name = "l00506" > < / a > < span class = "lineno" > 506< / span >   < / div >
< div class = "line" > < a name = "l00507" > < / a > < span class = "lineno" > 507< / span >   < span class = "keywordtype" > float< / span > result_8 () {< / div >
< div class = "line" > < a name = "l00508" > < / a > < span class = "lineno" > 508< / span >   __m256 sum = _mm256_hadd_ps(accu8, accu8);< / div >
< div class = "line" > < a name = "l00509" > < / a > < span class = "lineno" > 509< / span >   __m256 sum2 = _mm256_hadd_ps(sum, sum);< / div >
< div class = "line" > < a name = "l00510" > < / a > < span class = "lineno" > 510< / span >   < span class = "comment" > // now add the 0th and 4th component< / span > < / div >
< div class = "line" > < a name = "l00511" > < / a > < span class = "lineno" > 511< / span >   < span class = "keywordflow" > return< / span > < / div >
< div class = "line" > < a name = "l00512" > < / a > < span class = "lineno" > 512< / span >   _mm_cvtss_f32 (_mm256_castps256_ps128(sum2)) +< / div >
< div class = "line" > < a name = "l00513" > < / a > < span class = "lineno" > 513< / span >   _mm_cvtss_f32 (_mm256_extractf128_ps(sum2, 1));< / 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 >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00516" > < / a > < span class = "lineno" > 516< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00517" > < / a > < span class = "lineno" > 517< / span >   };< / div >
< div class = "line" > < a name = "l00518" > < / a > < span class = "lineno" > 518< / span >   < / div >
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< div class = "line" > < a name = "l00519" > < / a > < span class = "lineno" > 519< / span >   < / div >
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< div class = "line" > < a name = "l00520" > < / a > < span class = "lineno" > 520< / span >   < span class = "keyword" > struct < / span > SimilarityIP {< / div >
< div class = "line" > < a name = "l00521" > < / a > < span class = "lineno" > 521< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *y, *yi;< / div >
< div class = "line" > < a name = "l00522" > < / a > < span class = "lineno" > 522< / span >   < span class = "comment" > /******* scalar accumulator *******/< / span > < / div >
< div class = "line" > < a name = "l00523" > < / a > < span class = "lineno" > 523< / span >   < / div >
< div class = "line" > < a name = "l00524" > < / a > < span class = "lineno" > 524< / span >   < span class = "keywordtype" > float< / span > accu;< / 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" > explicit< / span > SimilarityIP (< span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > * y):< / div >
< div class = "line" > < a name = "l00527" > < / a > < span class = "lineno" > 527< / span >   y (y) {}< / div >
< div class = "line" > < a name = "l00528" > < / a > < span class = "lineno" > 528< / span >   < / div >
< div class = "line" > < a name = "l00529" > < / a > < span class = "lineno" > 529< / span >   < span class = "keywordtype" > void< / span > begin () {< / div >
< div class = "line" > < a name = "l00530" > < / a > < span class = "lineno" > 530< / span >   accu = 0;< / div >
< div class = "line" > < a name = "l00531" > < / a > < span class = "lineno" > 531< / span >   yi = y;< / div >
< div class = "line" > < a name = "l00532" > < / a > < span class = "lineno" > 532< / span >   }< / 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 = "keywordtype" > void< / span > add_component (< span class = "keywordtype" > float< / span > x) {< / div >
< div class = "line" > < a name = "l00535" > < / a > < span class = "lineno" > 535< / span >   accu += *yi++ * x;< / div >
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< div class = "line" > < a name = "l00536" > < / a > < span class = "lineno" > 536< / span >   }< / div >
< div class = "line" > < a name = "l00537" > < / a > < span class = "lineno" > 537< / span >   < / div >
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< div class = "line" > < a name = "l00538" > < / a > < span class = "lineno" > 538< / span >   < span class = "keywordtype" > void< / span > add_component_2 (< span class = "keywordtype" > float< / span > x1, < span class = "keywordtype" > float< / span > x2) {< / div >
< div class = "line" > < a name = "l00539" > < / a > < span class = "lineno" > 539< / span >   accu += x1 * x2;< / div >
< div class = "line" > < a name = "l00540" > < / a > < span class = "lineno" > 540< / span >   }< / div >
< div class = "line" > < a name = "l00541" > < / a > < span class = "lineno" > 541< / span >   < / div >
< div class = "line" > < a name = "l00542" > < / a > < span class = "lineno" > 542< / span >   < span class = "keywordtype" > float< / span > result () {< / div >
< div class = "line" > < a name = "l00543" > < / a > < span class = "lineno" > 543< / span >   < span class = "keywordflow" > return< / span > accu;< / div >
< div class = "line" > < a name = "l00544" > < / a > < span class = "lineno" > 544< / span >   }< / div >
< div class = "line" > < a name = "l00545" > < / a > < span class = "lineno" > 545< / span >   < / div >
< div class = "line" > < a name = "l00546" > < / a > < span class = "lineno" > 546< / span >   < span class = "preprocessor" > #ifdef USE_AVX< / span > < / div >
< div class = "line" > < a name = "l00547" > < / a > < span class = "lineno" > 547< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00548" > < / a > < span class = "lineno" > 548< / span >   __m256 accu8;< / div >
< div class = "line" > < a name = "l00549" > < / a > < span class = "lineno" > 549< / span >   < / div >
< div class = "line" > < a name = "l00550" > < / a > < span class = "lineno" > 550< / span >   < span class = "keywordtype" > void< / span > begin_8 () {< / div >
< div class = "line" > < a name = "l00551" > < / a > < span class = "lineno" > 551< / span >   accu8 = _mm256_setzero_ps();< / div >
< div class = "line" > < a name = "l00552" > < / a > < span class = "lineno" > 552< / span >   yi = y;< / div >
< div class = "line" > < a name = "l00553" > < / a > < span class = "lineno" > 553< / span >   }< / div >
< div class = "line" > < a name = "l00554" > < / a > < span class = "lineno" > 554< / span >   < / div >
< div class = "line" > < a name = "l00555" > < / a > < span class = "lineno" > 555< / span >   < span class = "keywordtype" > void< / span > add_8_components (__m256 x) {< / div >
< div class = "line" > < a name = "l00556" > < / a > < span class = "lineno" > 556< / span >   __m256 yiv = _mm256_loadu_ps (yi);< / div >
< div class = "line" > < a name = "l00557" > < / a > < span class = "lineno" > 557< / span >   yi += 8;< / div >
< div class = "line" > < a name = "l00558" > < / a > < span class = "lineno" > 558< / span >   accu8 += yiv * x;< / div >
< div class = "line" > < a name = "l00559" > < / a > < span class = "lineno" > 559< / span >   }< / div >
< div class = "line" > < a name = "l00560" > < / a > < span class = "lineno" > 560< / span >   < / div >
< div class = "line" > < a name = "l00561" > < / a > < span class = "lineno" > 561< / span >   < span class = "keywordtype" > void< / span > add_8_components_2 (__m256 x1, __m256 x2) {< / div >
< div class = "line" > < a name = "l00562" > < / a > < span class = "lineno" > 562< / span >   accu8 += x1 * x2;< / 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 >   < / div >
< div class = "line" > < a name = "l00565" > < / a > < span class = "lineno" > 565< / span >   < span class = "keywordtype" > float< / span > result_8 () {< / div >
< div class = "line" > < a name = "l00566" > < / a > < span class = "lineno" > 566< / span >   __m256 sum = _mm256_hadd_ps(accu8, accu8);< / div >
< div class = "line" > < a name = "l00567" > < / a > < span class = "lineno" > 567< / span >   __m256 sum2 = _mm256_hadd_ps(sum, sum);< / div >
< div class = "line" > < a name = "l00568" > < / a > < span class = "lineno" > 568< / span >   < span class = "comment" > // now add the 0th and 4th component< / span > < / div >
< div class = "line" > < a name = "l00569" > < / a > < span class = "lineno" > 569< / span >   < span class = "keywordflow" > return< / span > < / div >
< div class = "line" > < a name = "l00570" > < / a > < span class = "lineno" > 570< / span >   _mm_cvtss_f32 (_mm256_castps256_ps128(sum2)) +< / div >
< div class = "line" > < a name = "l00571" > < / a > < span class = "lineno" > 571< / span >   _mm_cvtss_f32 (_mm256_extractf128_ps(sum2, 1));< / div >
< div class = "line" > < a name = "l00572" > < / a > < span class = "lineno" > 572< / span >   }< / div >
< div class = "line" > < a name = "l00573" > < / a > < span class = "lineno" > 573< / span >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00574" > < / a > < span class = "lineno" > 574< / span >   < span class = "preprocessor" > < / span > };< / div >
< div class = "line" > < a name = "l00575" > < / a > < span class = "lineno" > 575< / span >   < / 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" > /*******************************************************************< / span > < / div >
< div class = "line" > < a name = "l00578" > < / a > < span class = "lineno" > 578< / span >   < span class = "comment" > * DistanceComputer: combines a similarity and a quantizer to do< / span > < / div >
< div class = "line" > < a name = "l00579" > < / a > < span class = "lineno" > 579< / span >   < span class = "comment" > * code-to-vector or code-to-code comparisons< / span > < / div >
< div class = "line" > < a name = "l00580" > < / a > < span class = "lineno" > 580< / span >   < span class = "comment" > */< / span > < / div >
< div class = "line" > < a name = "l00581" > < / a > < span class = "lineno" > 581< / span >   < / div >
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< div class = "line" > < a name = "l00582" > < / a > < span class = "lineno" > 582< / span >   < / div >
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< div class = "line" > < a name = "l00583" > < / a > < span class = "lineno" > 583< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > class< / span > Quantizer, < span class = "keyword" > class< / span > Similarity> < / div >
< div class = "line" > < a name = "l00584" > < / a > < span class = "lineno" > 584< / span >   < span class = "keyword" > struct < / span > DCTemplate : ScalarQuantizer::DistanceComputer {< / div >
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< div class = "line" > < a name = "l00585" > < / a > < span class = "lineno" > 585< / span >   < / div >
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< div class = "line" > < a name = "l00586" > < / a > < span class = "lineno" > 586< / span >   Quantizer quant;< / div >
< div class = "line" > < a name = "l00587" > < / a > < span class = "lineno" > 587< / span >   < / div >
< div class = "line" > < a name = "l00588" > < / a > < span class = "lineno" > 588< / span >   DCTemplate(< span class = "keywordtype" > size_t< / span > d, < span class = "keyword" > const< / span > std::vector< float> & trained):< / div >
< div class = "line" > < a name = "l00589" > < / a > < span class = "lineno" > 589< / span >   quant(d, trained)< / 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 >   < / div >
< div class = "line" > < a name = "l00592" > < / a > < span class = "lineno" > 592< / span >   < span class = "keywordtype" > float< / span > compute_distance (< span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *x,< / div >
< div class = "line" > < a name = "l00593" > < / a > < span class = "lineno" > 593< / span >   < span class = "keyword" > const< / span > uint8_t *code)< span class = "keyword" > override< / span > < / div >
< div class = "line" > < a name = "l00594" > < / a > < span class = "lineno" > 594< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00595" > < / a > < span class = "lineno" > 595< / span >   Similarity sim(x);< / div >
< div class = "line" > < a name = "l00596" > < / a > < span class = "lineno" > 596< / span >   sim.begin();< / div >
< div class = "line" > < a name = "l00597" > < / a > < span class = "lineno" > 597< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < quant.d; i ++) {< / div >
< div class = "line" > < a name = "l00598" > < / a > < span class = "lineno" > 598< / span >   < span class = "keywordtype" > float< / span > xi = quant.reconstruct_component (code, i);< / div >
< div class = "line" > < a name = "l00599" > < / a > < span class = "lineno" > 599< / span >   sim.add_component (xi);< / div >
< div class = "line" > < a name = "l00600" > < / a > < span class = "lineno" > 600< / span >   }< / div >
< div class = "line" > < a name = "l00601" > < / a > < span class = "lineno" > 601< / span >   < span class = "keywordflow" > return< / span > sim.result();< / div >
< div class = "line" > < a name = "l00602" > < / a > < span class = "lineno" > 602< / span >   }< / div >
< div class = "line" > < a name = "l00603" > < / a > < span class = "lineno" > 603< / span >   < / div >
< div class = "line" > < a name = "l00604" > < / a > < span class = "lineno" > 604< / span >   < span class = "keywordtype" > float< / span > compute_code_distance (< span class = "keyword" > const< / span > uint8_t *code1,< / div >
< div class = "line" > < a name = "l00605" > < / a > < span class = "lineno" > 605< / span >   < span class = "keyword" > const< / span > uint8_t *code2)< span class = "keyword" > override< / span > < / div >
< div class = "line" > < a name = "l00606" > < / a > < span class = "lineno" > 606< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00607" > < / a > < span class = "lineno" > 607< / span >   Similarity sim(< span class = "keyword" > nullptr< / span > );< / div >
< div class = "line" > < a name = "l00608" > < / a > < span class = "lineno" > 608< / span >   sim.begin ();< / div >
< div class = "line" > < a name = "l00609" > < / a > < span class = "lineno" > 609< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < quant.d; i ++) {< / div >
< div class = "line" > < a name = "l00610" > < / a > < span class = "lineno" > 610< / span >   < span class = "keywordtype" > float< / span > x1 = quant.reconstruct_component (code1, i);< / div >
< div class = "line" > < a name = "l00611" > < / a > < span class = "lineno" > 611< / span >   < span class = "keywordtype" > float< / span > x2 = quant.reconstruct_component (code2, i);< / div >
< div class = "line" > < a name = "l00612" > < / a > < span class = "lineno" > 612< / span >   sim.add_component_2 (x1, x2);< / div >
< div class = "line" > < a name = "l00613" > < / a > < span class = "lineno" > 613< / span >   }< / div >
< div class = "line" > < a name = "l00614" > < / a > < span class = "lineno" > 614< / span >   < span class = "keywordflow" > return< / span > sim.result ();< / div >
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< div class = "line" > < a name = "l00615" > < / a > < span class = "lineno" > 615< / span >   }< / div >
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< div class = "line" > < a name = "l00616" > < / a > < span class = "lineno" > 616< / span >   < / div >
< div class = "line" > < a name = "l00617" > < / a > < span class = "lineno" > 617< / 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 = "preprocessor" > #ifdef USE_AVX< / span > < / div >
< div class = "line" > < a name = "l00620" > < / a > < span class = "lineno" > 620< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00621" > < / a > < span class = "lineno" > 621< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > class< / span > Quantizer, < span class = "keyword" > class< / span > Similarity> < / div >
< div class = "line" > < a name = "l00622" > < / a > < span class = "lineno" > 622< / span >   < span class = "keyword" > struct < / span > DCTemplate_8 : ScalarQuantizer::DistanceComputer {< / div >
< div class = "line" > < a name = "l00623" > < / a > < span class = "lineno" > 623< / span >   < / div >
< div class = "line" > < a name = "l00624" > < / a > < span class = "lineno" > 624< / span >   Quantizer quant;< / div >
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< div class = "line" > < a name = "l00625" > < / a > < span class = "lineno" > 625< / span >   < / div >
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< div class = "line" > < a name = "l00626" > < / a > < span class = "lineno" > 626< / span >   DCTemplate_8(< span class = "keywordtype" > size_t< / span > d, < span class = "keyword" > const< / span > std::vector< float> & trained):< / div >
< div class = "line" > < a name = "l00627" > < / a > < span class = "lineno" > 627< / span >   quant(d, trained)< / div >
< div class = "line" > < a name = "l00628" > < / a > < span class = "lineno" > 628< / span >   {}< / div >
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< div class = "line" > < a name = "l00629" > < / a > < span class = "lineno" > 629< / span >   < / div >
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< div class = "line" > < a name = "l00630" > < / a > < span class = "lineno" > 630< / span >   < span class = "keywordtype" > float< / span > compute_distance (< span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *x,< / div >
< div class = "line" > < a name = "l00631" > < / a > < span class = "lineno" > 631< / span >   < span class = "keyword" > const< / span > uint8_t *code)< span class = "keyword" > override< / span > < / div >
< div class = "line" > < a name = "l00632" > < / a > < span class = "lineno" > 632< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00633" > < / a > < span class = "lineno" > 633< / span >   Similarity sim(x);< / div >
< div class = "line" > < a name = "l00634" > < / a > < span class = "lineno" > 634< / span >   sim.begin_8();< / div >
< div class = "line" > < a name = "l00635" > < / a > < span class = "lineno" > 635< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < quant.d; i += 8) {< / div >
< div class = "line" > < a name = "l00636" > < / a > < span class = "lineno" > 636< / span >   __m256 xi = quant.reconstruct_8_components (code, i);< / div >
< div class = "line" > < a name = "l00637" > < / a > < span class = "lineno" > 637< / span >   sim.add_8_components (xi);< / 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 >   < span class = "keywordflow" > return< / span > sim.result_8();< / 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 >   < span class = "keywordtype" > float< / span > compute_code_distance (< span class = "keyword" > const< / span > uint8_t *code1,< / div >
< div class = "line" > < a name = "l00643" > < / a > < span class = "lineno" > 643< / span >   < span class = "keyword" > const< / span > uint8_t *code2)< span class = "keyword" > override< / span > < / div >
< div class = "line" > < a name = "l00644" > < / a > < span class = "lineno" > 644< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00645" > < / a > < span class = "lineno" > 645< / span >   Similarity sim(< span class = "keyword" > nullptr< / span > );< / div >
< div class = "line" > < a name = "l00646" > < / a > < span class = "lineno" > 646< / span >   sim.begin_8 ();< / div >
< div class = "line" > < a name = "l00647" > < / a > < span class = "lineno" > 647< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < quant.d; i += 8) {< / div >
< div class = "line" > < a name = "l00648" > < / a > < span class = "lineno" > 648< / span >   __m256 x1 = quant.reconstruct_8_components (code1, i);< / div >
< div class = "line" > < a name = "l00649" > < / a > < span class = "lineno" > 649< / span >   __m256 x2 = quant.reconstruct_8_components (code2, i);< / div >
< div class = "line" > < a name = "l00650" > < / a > < span class = "lineno" > 650< / span >   sim.add_8_components_2 (x1, x2);< / 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 = "keywordflow" > return< / span > sim.result_8 ();< / div >
< div class = "line" > < a name = "l00653" > < / a > < span class = "lineno" > 653< / span >   }< / div >
< div class = "line" > < a name = "l00654" > < / a > < span class = "lineno" > 654< / span >   < / div >
< div class = "line" > < a name = "l00655" > < / a > < span class = "lineno" > 655< / span >   };< / div >
< div class = "line" > < a name = "l00656" > < / a > < span class = "lineno" > 656< / span >   < / 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 >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00659" > < / a > < span class = "lineno" > 659< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00660" > < / a > < span class = "lineno" > 660< / span >   < / div >
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< div class = "line" > < a name = "l00661" > < / a > < span class = "lineno" > 661< / span >   < / div >
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< div class = "line" > < a name = "l00662" > < / a > < span class = "lineno" > 662< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > class< / span > Sim> < / div >
< div class = "line" > < a name = "l00663" > < / a > < span class = "lineno" > 663< / span >   DistanceComputer *select_distance_computer (< / div >
< div class = "line" > < a name = "l00664" > < / a > < span class = "lineno" > 664< / span >   QuantizerType qtype,< / div >
< div class = "line" > < a name = "l00665" > < / a > < span class = "lineno" > 665< / span >   < span class = "keywordtype" > size_t< / span > d, < span class = "keyword" > const< / span > std::vector< float> & trained)< / div >
< div class = "line" > < a name = "l00666" > < / a > < span class = "lineno" > 666< / span >   {< / div >
< div class = "line" > < a name = "l00667" > < / a > < span class = "lineno" > 667< / span >   < span class = "preprocessor" > #ifdef USE_AVX< / span > < / div >
< div class = "line" > < a name = "l00668" > < / a > < span class = "lineno" > 668< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > if< / span > (d % 8 == 0) {< / div >
< div class = "line" > < a name = "l00669" > < / a > < span class = "lineno" > 669< / span >   < span class = "keywordflow" > switch< / span > (qtype) {< / div >
< div class = "line" > < a name = "l00670" > < / a > < span class = "lineno" > 670< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c" > ScalarQuantizer::QT_8bit< / a > :< / div >
< div class = "line" > < a name = "l00671" > < / a > < span class = "lineno" > 671< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > DCTemplate_8< QuantizerNonUniform8< / div >
< div class = "line" > < a name = "l00672" > < / a > < span class = "lineno" > 672< / span >   < Codec8bit> , Sim> (d, trained);< / div >
< div class = "line" > < a name = "l00673" > < / a > < span class = "lineno" > 673< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b" > ScalarQuantizer::QT_4bit< / a > :< / div >
< div class = "line" > < a name = "l00674" > < / a > < span class = "lineno" > 674< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > DCTemplate_8< QuantizerNonUniform8< / div >
< div class = "line" > < a name = "l00675" > < / a > < span class = "lineno" > 675< / span >   < Codec4bit> , Sim> (d, trained);< / div >
< div class = "line" > < a name = "l00676" > < / a > < span class = "lineno" > 676< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a" > ScalarQuantizer::QT_8bit_uniform< / a > :< / div >
< div class = "line" > < a name = "l00677" > < / a > < span class = "lineno" > 677< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > DCTemplate_8< QuantizerUniform8< / div >
< div class = "line" > < a name = "l00678" > < / a > < span class = "lineno" > 678< / span >   < Codec8bit> , Sim> (d, trained);< / div >
< div class = "line" > < a name = "l00679" > < / a > < span class = "lineno" > 679< / span >   < span class = "keywordflow" > case< / span > ScalarQuantizer::QT_4bit_uniform:< / div >
< div class = "line" > < a name = "l00680" > < / a > < span class = "lineno" > 680< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > DCTemplate_8< QuantizerUniform8< / div >
< div class = "line" > < a name = "l00681" > < / a > < span class = "lineno" > 681< / span >   < Codec4bit> , Sim> (d, trained);< / div >
< div class = "line" > < a name = "l00682" > < / a > < span class = "lineno" > 682< / span >   }< / div >
< div class = "line" > < a name = "l00683" > < / a > < span class = "lineno" > 683< / span >   } < span class = "keywordflow" > else< / span > < / div >
< div class = "line" > < a name = "l00684" > < / a > < span class = "lineno" > 684< / span >   < span class = "preprocessor" > #endif< / span > < / div >
< div class = "line" > < a name = "l00685" > < / a > < span class = "lineno" > 685< / span >   < span class = "preprocessor" > < / span > {< / div >
< div class = "line" > < a name = "l00686" > < / a > < span class = "lineno" > 686< / span >   < span class = "keywordflow" > switch< / span > (qtype) {< / div >
< div class = "line" > < a name = "l00687" > < / a > < span class = "lineno" > 687< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c" > ScalarQuantizer::QT_8bit< / a > :< / div >
< div class = "line" > < a name = "l00688" > < / a > < span class = "lineno" > 688< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > DCTemplate< QuantizerNonUniform< / div >
< div class = "line" > < a name = "l00689" > < / a > < span class = "lineno" > 689< / span >   < Codec8bit> , Sim> (d, trained);< / div >
< div class = "line" > < a name = "l00690" > < / a > < span class = "lineno" > 690< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b" > ScalarQuantizer::QT_4bit< / a > :< / div >
< div class = "line" > < a name = "l00691" > < / a > < span class = "lineno" > 691< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > DCTemplate< QuantizerNonUniform< / div >
< div class = "line" > < a name = "l00692" > < / a > < span class = "lineno" > 692< / span >   < Codec4bit> , Sim> (d, trained);< / div >
< div class = "line" > < a name = "l00693" > < / a > < span class = "lineno" > 693< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a" > ScalarQuantizer::QT_8bit_uniform< / a > :< / div >
< div class = "line" > < a name = "l00694" > < / a > < span class = "lineno" > 694< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > DCTemplate< QuantizerUniform< / div >
< div class = "line" > < a name = "l00695" > < / a > < span class = "lineno" > 695< / span >   < Codec8bit> , Sim> (d, trained);< / div >
< div class = "line" > < a name = "l00696" > < / a > < span class = "lineno" > 696< / span >   < span class = "keywordflow" > case< / span > ScalarQuantizer::QT_4bit_uniform:< / div >
< div class = "line" > < a name = "l00697" > < / a > < span class = "lineno" > 697< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > new< / span > DCTemplate< QuantizerUniform< / div >
< div class = "line" > < a name = "l00698" > < / a > < span class = "lineno" > 698< / span >   < Codec4bit> , Sim> (d, trained);< / div >
< div class = "line" > < a name = "l00699" > < / a > < span class = "lineno" > 699< / span >   }< / div >
< div class = "line" > < a name = "l00700" > < / a > < span class = "lineno" > 700< / span >   }< / div >
< div class = "line" > < a name = "l00701" > < / a > < span class = "lineno" > 701< / span >   FAISS_THROW_MSG (< span class = "stringliteral" > " unknown qtype" < / span > );< / div >
< div class = "line" > < a name = "l00702" > < / a > < span class = "lineno" > 702< / span >   < span class = "keywordflow" > return< / span > < span class = "keyword" > nullptr< / span > ;< / div >
< div class = "line" > < a name = "l00703" > < / a > < span class = "lineno" > 703< / span >   }< / div >
< div class = "line" > < a name = "l00704" > < / a > < span class = "lineno" > 704< / span >   < / div >
< div class = "line" > < a name = "l00705" > < / a > < span class = "lineno" > 705< / span >   < / div >
< div class = "line" > < a name = "l00706" > < / a > < span class = "lineno" > 706< / span >   < / div >
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< 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 >
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< div class = "line" > < a name = "l00709" > < / a > < span class = "lineno" > 709< / span >   } < span class = "comment" > // anonymous namespace< / span > < / div >
< div class = "line" > < a name = "l00710" > < / a > < span class = "lineno" > 710< / span >   < / div >
< div class = "line" > < a name = "l00711" > < / a > < span class = "lineno" > 711< / span >   < / div >
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< div class = "line" > < a name = "l00712" > < / a > < span class = "lineno" > 712< / span >   < / div >
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< div class = "line" > < a name = "l00713" > < / a > < span class = "lineno" > 713< / span >   < span class = "comment" > /*******************************************************************< / span > < / div >
< div class = "line" > < a name = "l00714" > < / a > < span class = "lineno" > 714< / span >   < span class = "comment" > * ScalarQuantizer implementation< / span > < / div >
< div class = "line" > < a name = "l00715" > < / a > < span class = "lineno" > 715< / span >   < span class = "comment" > ********************************************************************/< / span > < / div >
< div class = "line" > < a name = "l00716" > < / a > < span class = "lineno" > 716< / span >   < / div >
< div class = "line" > < a name = "l00717" > < / a > < span class = "lineno" > 717< / span >   ScalarQuantizer::ScalarQuantizer< / div >
< div class = "line" > < a name = "l00718" > < / a > < span class = "lineno" > 718< / span >   (< span class = "keywordtype" > size_t< / span > d, QuantizerType qtype):< / div >
< div class = "line" > < a name = "l00719" > < / a > < span class = "lineno" > 719< / span >   qtype (qtype), rangestat(RS_minmax), rangestat_arg(0), d (d)< / div >
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< div class = "line" > < a name = "l00720" > < / a > < span class = "lineno" > 720< / span >   {< / div >
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< div class = "line" > < a name = "l00721" > < / a > < span class = "lineno" > 721< / span >   < span class = "keywordflow" > switch< / span > (qtype) {< / div >
< div class = "line" > < a name = "l00722" > < / a > < span class = "lineno" > 722< / span >   < span class = "keywordflow" > case< / span > QT_8bit: < span class = "keywordflow" > case< / span > QT_8bit_uniform:< / div >
< div class = "line" > < a name = "l00723" > < / a > < span class = "lineno" > 723< / span >   code_size = < a class = "code" href = "structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d" > d< / a > ;< / div >
< div class = "line" > < a name = "l00724" > < / a > < span class = "lineno" > 724< / span >   < span class = "keywordflow" > break< / span > ;< / div >
< div class = "line" > < a name = "l00725" > < / a > < span class = "lineno" > 725< / span >   < span class = "keywordflow" > case< / span > QT_4bit: < span class = "keywordflow" > case< / span > QT_4bit_uniform:< / div >
< div class = "line" > < a name = "l00726" > < / a > < span class = "lineno" > 726< / span >   code_size = (d + 1) / 2;< / div >
< div class = "line" > < a name = "l00727" > < / a > < span class = "lineno" > 727< / span >   < span class = "keywordflow" > break< / span > ;< / div >
< div class = "line" > < a name = "l00728" > < / a > < span class = "lineno" > 728< / span >   }< / div >
< div class = "line" > < a name = "l00729" > < / a > < span class = "lineno" > 729< / span >   < / div >
< div class = "line" > < a name = "l00730" > < / a > < span class = "lineno" > 730< / span >   }< / div >
< div class = "line" > < a name = "l00731" > < / a > < span class = "lineno" > 731< / span >   < / div >
< div class = "line" > < a name = "l00732" > < / a > < span class = "lineno" > 732< / span >   ScalarQuantizer::ScalarQuantizer ():< / div >
< div class = "line" > < a name = "l00733" > < / a > < span class = "lineno" > 733< / span >   qtype(QT_8bit),< / div >
< div class = "line" > < a name = "l00734" > < / a > < span class = "lineno" > 734< / span >   rangestat(RS_minmax), rangestat_arg(0), d (0), code_size(0)< / div >
< div class = "line" > < a name = "l00735" > < / a > < span class = "lineno" > 735< / span >   {}< / div >
< div class = "line" > < a name = "l00736" > < / a > < span class = "lineno" > 736< / span >   < / div >
< div class = "line" > < a name = "l00737" > < / a > < span class = "lineno" > 737< / span >   < span class = "keywordtype" > void< / span > ScalarQuantizer::train (< span class = "keywordtype" > size_t< / span > n, < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *x)< / div >
< div class = "line" > < a name = "l00738" > < / a > < span class = "lineno" > 738< / span >   {< / div >
< div class = "line" > < a name = "l00739" > < / a > < span class = "lineno" > 739< / span >   < span class = "keywordtype" > int< / span > bit_per_dim =< / div >
< div class = "line" > < a name = "l00740" > < / a > < span class = "lineno" > 740< / span >   qtype == QT_4bit_uniform ? 4 :< / div >
< div class = "line" > < a name = "l00741" > < / a > < span class = "lineno" > 741< / span >   qtype == < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b" > QT_4bit< / a > ? 4 :< / div >
< div class = "line" > < a name = "l00742" > < / a > < span class = "lineno" > 742< / span >   qtype == < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a" > QT_8bit_uniform< / a > ? 8 :< / div >
< div class = "line" > < a name = "l00743" > < / a > < span class = "lineno" > 743< / span >   qtype == < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c" > QT_8bit< / a > ? 8 : -1;< / div >
2017-07-18 17:43:35 +08:00
< div class = "line" > < a name = "l00744" > < / a > < span class = "lineno" > 744< / span >   < / div >
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< div class = "line" > < a name = "l00745" > < / a > < span class = "lineno" > 745< / span >   < span class = "keywordflow" > switch< / span > (qtype) {< / div >
< div class = "line" > < a name = "l00746" > < / a > < span class = "lineno" > 746< / span >   < span class = "keywordflow" > case< / span > QT_4bit_uniform: < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a" > QT_8bit_uniform< / a > :< / div >
< div class = "line" > < a name = "l00747" > < / a > < span class = "lineno" > 747< / span >   train_Uniform (rangestat, rangestat_arg,< / div >
< div class = "line" > < a name = "l00748" > < / a > < span class = "lineno" > 748< / span >   n * d, 1 < < bit_per_dim, x, trained);< / div >
< div class = "line" > < a name = "l00749" > < / a > < span class = "lineno" > 749< / span >   < span class = "keywordflow" > break< / span > ;< / div >
< div class = "line" > < a name = "l00750" > < / a > < span class = "lineno" > 750< / span >   < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b" > QT_4bit< / a > : < span class = "keywordflow" > case< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c" > QT_8bit< / a > :< / div >
< div class = "line" > < a name = "l00751" > < / a > < span class = "lineno" > 751< / span >   train_NonUniform (rangestat, rangestat_arg,< / div >
< div class = "line" > < a name = "l00752" > < / a > < span class = "lineno" > 752< / span >   n, d, 1 < < bit_per_dim, x, trained);< / div >
< div class = "line" > < a name = "l00753" > < / a > < span class = "lineno" > 753< / span >   < span class = "keywordflow" > break< / span > ;< / div >
< div class = "line" > < a name = "l00754" > < / a > < span class = "lineno" > 754< / span >   }< / div >
< div class = "line" > < a name = "l00755" > < / a > < span class = "lineno" > 755< / span >   }< / div >
< div class = "line" > < a name = "l00756" > < / a > < span class = "lineno" > 756< / span >   < / div >
< div class = "line" > < a name = "l00757" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1ScalarQuantizer.html#a2bccf276565c4f80fed3d0c715c58816" > 757< / a > < / span >   < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a2bccf276565c4f80fed3d0c715c58816" > ScalarQuantizer::compute_codes< / a > (< span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > * x,< / div >
< div class = "line" > < a name = "l00758" > < / a > < span class = "lineno" > 758< / span >   uint8_t * codes,< / div >
< div class = "line" > < a name = "l00759" > < / a > < span class = "lineno" > 759< / span >   < span class = "keywordtype" > size_t< / span > n)< span class = "keyword" > const< / span > < / div >
< div class = "line" > < a name = "l00760" > < / a > < span class = "lineno" > 760< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00761" > < / a > < span class = "lineno" > 761< / span >   Quantizer *squant = select_quantizer (*< span class = "keyword" > this< / span > );< / div >
< div class = "line" > < a name = "l00762" > < / a > < span class = "lineno" > 762< / span >   < a class = "code" href = "structfaiss_1_1ScopeDeleter1.html" > ScopeDeleter1< Quantizer> < / a > del(squant);< / div >
< div class = "line" > < a name = "l00763" > < / a > < span class = "lineno" > 763< / span >   < span class = "preprocessor" > #pragma omp parallel for< / span > < / div >
< div class = "line" > < a name = "l00764" > < / a > < span class = "lineno" > 764< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < n; i++)< / div >
< div class = "line" > < a name = "l00765" > < / a > < span class = "lineno" > 765< / span >   squant-> encode_vector (x + i * d, codes + i * < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a647b8774e4cd8ca5623a194f5c7f8a33" > code_size< / a > );< / div >
< div class = "line" > < a name = "l00766" > < / a > < span class = "lineno" > 766< / span >   }< / div >
< div class = "line" > < a name = "l00767" > < / a > < span class = "lineno" > 767< / span >   < / div >
< div class = "line" > < a name = "l00768" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1ScalarQuantizer.html#a7ab9e9158da1777d45e6f9bf73bfd489" > 768< / a > < / span >   < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a7ab9e9158da1777d45e6f9bf73bfd489" > ScalarQuantizer::decode< / a > (< span class = "keyword" > const< / span > uint8_t *codes, < span class = "keywordtype" > float< / span > *x, < span class = "keywordtype" > size_t< / span > n)< span class = "keyword" > const< / span > < / div >
< div class = "line" > < a name = "l00769" > < / a > < span class = "lineno" > 769< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00770" > < / a > < span class = "lineno" > 770< / span >   Quantizer *squant = select_quantizer (*< span class = "keyword" > this< / span > );< / div >
< div class = "line" > < a name = "l00771" > < / a > < span class = "lineno" > 771< / span >   < a class = "code" href = "structfaiss_1_1ScopeDeleter1.html" > ScopeDeleter1< Quantizer> < / a > del(squant);< / div >
< div class = "line" > < a name = "l00772" > < / a > < span class = "lineno" > 772< / span >   < span class = "preprocessor" > #pragma omp parallel for< / span > < / div >
< div class = "line" > < a name = "l00773" > < / a > < span class = "lineno" > 773< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < n; i++)< / div >
< div class = "line" > < a name = "l00774" > < / a > < span class = "lineno" > 774< / span >   squant-> decode_vector (codes + i * < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a647b8774e4cd8ca5623a194f5c7f8a33" > code_size< / a > , x + i * d);< / div >
< div class = "line" > < a name = "l00775" > < / a > < span class = "lineno" > 775< / span >   }< / div >
< div class = "line" > < a name = "l00776" > < / a > < span class = "lineno" > 776< / span >   < / div >
< div class = "line" > < a name = "l00777" > < / a > < span class = "lineno" > 777< / span >   < / div >
< div class = "line" > < a name = "l00778" > < / a > < span class = "lineno" > 778< / span >   < a class = "code" href = "structfaiss_1_1ScalarQuantizer_1_1DistanceComputer.html" > ScalarQuantizer::DistanceComputer< / a > *ScalarQuantizer::get_distance_computer (< / div >
< div class = "line" > < a name = "l00779" > < / a > < span class = "lineno" > 779< / span >   < a class = "code" href = "namespacefaiss.html#afd12191c638da74760ff397cf319752c" > MetricType< / a > metric)< span class = "keyword" > < / span > < / div >
< div class = "line" > < a name = "l00780" > < / a > < span class = "lineno" > 780< / span >   < span class = "keyword" > const< / span > < / div >
< div class = "line" > < a name = "l00781" > < / a > < span class = "lineno" > 781< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00782" > < / a > < span class = "lineno" > 782< / span >   < span class = "keywordflow" > if< / span > (metric == METRIC_L2) {< / div >
< div class = "line" > < a name = "l00783" > < / a > < span class = "lineno" > 783< / span >   < span class = "keywordflow" > return< / span > select_distance_computer< SimilarityL2> (qtype, < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#acd88af01ad1d06560cecc30bc38aef49" > d< / a > , < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a30b411b10780a74079bbbfaff678c86f" > trained< / a > );< / div >
< div class = "line" > < a name = "l00784" > < / a > < span class = "lineno" > 784< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00785" > < / a > < span class = "lineno" > 785< / span >   < span class = "keywordflow" > return< / span > select_distance_computer< SimilarityIP> (qtype, < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#acd88af01ad1d06560cecc30bc38aef49" > d< / a > , < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a30b411b10780a74079bbbfaff678c86f" > trained< / a > );< / div >
< div class = "line" > < a name = "l00786" > < / a > < span class = "lineno" > 786< / span >   }< / div >
< div class = "line" > < a name = "l00787" > < / a > < span class = "lineno" > 787< / span >   }< / div >
< div class = "line" > < a name = "l00788" > < / a > < span class = "lineno" > 788< / span >   < / div >
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< div class = "line" > < a name = "l00789" > < / a > < span class = "lineno" > 789< / span >   < / div >
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< div class = "line" > < a name = "l00790" > < / a > < span class = "lineno" > 790< / span >   < span class = "comment" > /*******************************************************************< / span > < / div >
< div class = "line" > < a name = "l00791" > < / a > < span class = "lineno" > 791< / span >   < span class = "comment" > * IndexScalarQuantizer implementation< / span > < / div >
< div class = "line" > < a name = "l00792" > < / a > < span class = "lineno" > 792< / span >   < span class = "comment" > ********************************************************************/< / span > < / div >
< div class = "line" > < a name = "l00793" > < / a > < span class = "lineno" > 793< / span >   < / div >
< div class = "line" > < a name = "l00794" > < / a > < span class = "lineno" > 794< / span >   IndexScalarQuantizer::IndexScalarQuantizer< / div >
< div class = "line" > < a name = "l00795" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1IndexScalarQuantizer.html#a474ad5a50eb2e9f0d79f869855c57223" > 795< / a > < / span >   (< span class = "keywordtype" > int< / span > d, < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952e" > ScalarQuantizer::QuantizerType< / a > qtype,< / div >
< div class = "line" > < a name = "l00796" > < / a > < span class = "lineno" > 796< / span >   < a class = "code" href = "namespacefaiss.html#afd12191c638da74760ff397cf319752c" > MetricType< / a > metric):< / div >
< div class = "line" > < a name = "l00797" > < / a > < span class = "lineno" > 797< / span >   < a class = "code" href = "structfaiss_1_1Index.html" > Index< / a > (d, metric),< / div >
< div class = "line" > < a name = "l00798" > < / a > < span class = "lineno" > 798< / span >   sq (d, qtype)< / div >
< div class = "line" > < a name = "l00799" > < / a > < span class = "lineno" > 799< / span >   {< / div >
< div class = "line" > < a name = "l00800" > < / a > < span class = "lineno" > 800< / span >   is_trained = < span class = "keyword" > false< / span > ;< / div >
< div class = "line" > < a name = "l00801" > < / a > < span class = "lineno" > 801< / span >   code_size = sq.code_size;< / div >
< div class = "line" > < a name = "l00802" > < / a > < span class = "lineno" > 802< / span >   }< / div >
< div class = "line" > < a name = "l00803" > < / a > < span class = "lineno" > 803< / span >   < / div >
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< div class = "line" > < a name = "l00804" > < / a > < span class = "lineno" > 804< / span >   < / div >
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< div class = "line" > < a name = "l00805" > < / a > < span class = "lineno" > 805< / span >   IndexScalarQuantizer::IndexScalarQuantizer ():< / div >
< div class = "line" > < a name = "l00806" > < / a > < span class = "lineno" > 806< / span >   < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html" > IndexScalarQuantizer< / a > (0, < a class = "code" href = "structfaiss_1_1ScalarQuantizer.html" > ScalarQuantizer< / a > ::QT_8bit)< / div >
< div class = "line" > < a name = "l00807" > < / a > < span class = "lineno" > 807< / span >   {}< / div >
< div class = "line" > < a name = "l00808" > < / a > < span class = "lineno" > 808< / span >   < / div >
< div class = "line" > < a name = "l00809" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1IndexScalarQuantizer.html#a300647e9cdac9acd160f2c55c610056b" > 809< / a > < / span >   < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a300647e9cdac9acd160f2c55c610056b" > IndexScalarQuantizer::train< / a > (idx_t n, < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > * x)< / div >
< div class = "line" > < a name = "l00810" > < / a > < span class = "lineno" > 810< / span >   {< / div >
< div class = "line" > < a name = "l00811" > < / a > < span class = "lineno" > 811< / span >   < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a71381f74754d8a54812e80af46a2a83a" > sq< / a > .train(n, x);< / div >
< div class = "line" > < a name = "l00812" > < / a > < span class = "lineno" > 812< / span >   < a class = "code" href = "structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f" > is_trained< / a > = < span class = "keyword" > true< / span > ;< / div >
< div class = "line" > < a name = "l00813" > < / a > < span class = "lineno" > 813< / span >   }< / div >
< div class = "line" > < a name = "l00814" > < / a > < span class = "lineno" > 814< / span >   < / div >
< div class = "line" > < a name = "l00815" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1IndexScalarQuantizer.html#ad49602f9ecfcaa2ec8737a449b69ccd7" > 815< / a > < / span >   < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#ad49602f9ecfcaa2ec8737a449b69ccd7" > IndexScalarQuantizer::add< / a > (idx_t n, < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > * x)< / div >
< div class = "line" > < a name = "l00816" > < / a > < span class = "lineno" > 816< / span >   {< / div >
< div class = "line" > < a name = "l00817" > < / a > < span class = "lineno" > 817< / span >   FAISS_THROW_IF_NOT (< a class = "code" href = "structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f" > is_trained< / a > );< / div >
< div class = "line" > < a name = "l00818" > < / a > < span class = "lineno" > 818< / span >   < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a861fa059f9d4ced9147e08193a2be9be" > codes< / a > .resize ((n + < a class = "code" href = "structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd" > ntotal< / a > ) * code_size);< / div >
< div class = "line" > < a name = "l00819" > < / a > < span class = "lineno" > 819< / span >   < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a71381f74754d8a54812e80af46a2a83a" > sq< / a > .< a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a2bccf276565c4f80fed3d0c715c58816" > compute_codes< / a > (x, & < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a861fa059f9d4ced9147e08193a2be9be" > codes< / a > [< a class = "code" href = "structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd" > ntotal< / a > * code_size], n);< / div >
< div class = "line" > < a name = "l00820" > < / a > < span class = "lineno" > 820< / span >   < a class = "code" href = "structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd" > ntotal< / a > += n;< / div >
< div class = "line" > < a name = "l00821" > < / a > < span class = "lineno" > 821< / span >   }< / div >
< div class = "line" > < a name = "l00822" > < / a > < span class = "lineno" > 822< / span >   < / div >
2017-11-22 21:00:42 +08:00
< div class = "line" > < a name = "l00823" > < / a > < span class = "lineno" > 823< / span >   < / div >
2018-01-09 22:44:43 +08:00
< div class = "line" > < a name = "l00824" > < / a > < span class = "lineno" > 824< / span >   < / div >
< div class = "line" > < a name = "l00825" > < / a > < span class = "lineno" > 825< / span >   < span class = "keyword" > namespace < / span > {< / div >
< div class = "line" > < a name = "l00826" > < / a > < span class = "lineno" > 826< / span >   < / div >
< div class = "line" > < a name = "l00827" > < / a > < span class = "lineno" > 827< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > class< / span > C> < / div >
< div class = "line" > < a name = "l00828" > < / a > < span class = "lineno" > 828< / span >   < span class = "keywordtype" > void< / span > search_flat_scalar_quantizer(< / div >
< div class = "line" > < a name = "l00829" > < / a > < span class = "lineno" > 829< / span >   < span class = "keyword" > const< / span > < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html" > IndexScalarQuantizer< / a > & index,< / div >
< div class = "line" > < a name = "l00830" > < / a > < span class = "lineno" > 830< / span >   idx_t n,< / div >
< div class = "line" > < a name = "l00831" > < / a > < span class = "lineno" > 831< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > * x,< / div >
< div class = "line" > < a name = "l00832" > < / a > < span class = "lineno" > 832< / span >   idx_t k,< / div >
< div class = "line" > < a name = "l00833" > < / a > < span class = "lineno" > 833< / span >   < span class = "keywordtype" > float< / span > * distances,< / div >
< div class = "line" > < a name = "l00834" > < / a > < span class = "lineno" > 834< / span >   idx_t* labels)< / div >
< div class = "line" > < a name = "l00835" > < / a > < span class = "lineno" > 835< / span >   {< / div >
< div class = "line" > < a name = "l00836" > < / a > < span class = "lineno" > 836< / span >   < span class = "keywordtype" > size_t< / span > code_size = index.code_size;< / div >
< div class = "line" > < a name = "l00837" > < / a > < span class = "lineno" > 837< / span >   < span class = "keywordtype" > size_t< / span > d = index.< a class = "code" href = "structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d" > d< / a > ;< / div >
2017-11-22 21:00:42 +08:00
< div class = "line" > < a name = "l00838" > < / a > < span class = "lineno" > 838< / span >   < / div >
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< div class = "line" > < a name = "l00839" > < / a > < span class = "lineno" > 839< / span >   < span class = "preprocessor" > #pragma omp parallel< / span > < / div >
< div class = "line" > < a name = "l00840" > < / a > < span class = "lineno" > 840< / span >   < span class = "preprocessor" > < / span > {< / div >
< div class = "line" > < a name = "l00841" > < / a > < span class = "lineno" > 841< / span >   DistanceComputer *dc =< / div >
< div class = "line" > < a name = "l00842" > < / a > < span class = "lineno" > 842< / span >   index.< a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a71381f74754d8a54812e80af46a2a83a" > sq< / a > .get_distance_computer(index.< a class = "code" href = "structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e" > metric_type< / a > );< / div >
< div class = "line" > < a name = "l00843" > < / a > < span class = "lineno" > 843< / span >   < a class = "code" href = "structfaiss_1_1ScopeDeleter1.html" > ScopeDeleter1< DistanceComputer> < / a > del(dc);< / div >
< div class = "line" > < a name = "l00844" > < / a > < span class = "lineno" > 844< / span >   < / div >
< div class = "line" > < a name = "l00845" > < / a > < span class = "lineno" > 845< / span >   < span class = "preprocessor" > #pragma omp for< / span > < / div >
< div class = "line" > < a name = "l00846" > < / a > < span class = "lineno" > 846< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < n; i++) {< / div >
< div class = "line" > < a name = "l00847" > < / a > < span class = "lineno" > 847< / span >   idx_t *idxi = labels + i * k;< / div >
< div class = "line" > < a name = "l00848" > < / a > < span class = "lineno" > 848< / span >   < span class = "keywordtype" > float< / span > *simi = distances + i * k;< / div >
< div class = "line" > < a name = "l00849" > < / a > < span class = "lineno" > 849< / span >   heap_heapify< C> (k, simi, idxi);< / div >
< div class = "line" > < a name = "l00850" > < / a > < span class = "lineno" > 850< / span >   < / div >
< div class = "line" > < a name = "l00851" > < / a > < span class = "lineno" > 851< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *xi = x + i * d;< / div >
< div class = "line" > < a name = "l00852" > < / a > < span class = "lineno" > 852< / span >   < span class = "keyword" > const< / span > uint8_t *ci = index.< a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a861fa059f9d4ced9147e08193a2be9be" > codes< / a > .data ();< / div >
< div class = "line" > < a name = "l00853" > < / a > < span class = "lineno" > 853< / span >   < / div >
< div class = "line" > < a name = "l00854" > < / a > < span class = "lineno" > 854< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > j = 0; j < index.< a class = "code" href = "structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd" > ntotal< / a > ; j++) {< / div >
< div class = "line" > < a name = "l00855" > < / a > < span class = "lineno" > 855< / span >   < span class = "keywordtype" > float< / span > accu = dc-> compute_distance(xi, ci);< / div >
< div class = "line" > < a name = "l00856" > < / a > < span class = "lineno" > 856< / span >   < span class = "keywordflow" > if< / span > (C::cmp (simi [0], accu)) {< / div >
< div class = "line" > < a name = "l00857" > < / a > < span class = "lineno" > 857< / span >   heap_pop< C> (k, simi, idxi);< / div >
< div class = "line" > < a name = "l00858" > < / a > < span class = "lineno" > 858< / span >   heap_push< C> (k, simi, idxi, accu, j);< / div >
< div class = "line" > < a name = "l00859" > < / a > < span class = "lineno" > 859< / span >   }< / div >
< div class = "line" > < a name = "l00860" > < / a > < span class = "lineno" > 860< / span >   ci += code_size;< / div >
< div class = "line" > < a name = "l00861" > < / a > < span class = "lineno" > 861< / span >   }< / div >
< div class = "line" > < a name = "l00862" > < / a > < span class = "lineno" > 862< / span >   heap_reorder< C> (k, simi, idxi);< / div >
< div class = "line" > < a name = "l00863" > < / a > < span class = "lineno" > 863< / span >   }< / div >
< div class = "line" > < a name = "l00864" > < / a > < span class = "lineno" > 864< / span >   }< / div >
2017-09-08 19:39:41 +08:00
< div class = "line" > < a name = "l00865" > < / a > < span class = "lineno" > 865< / span >   < / div >
2018-01-09 22:44:43 +08:00
< div class = "line" > < a name = "l00866" > < / a > < span class = "lineno" > 866< / span >   };< / div >
2017-11-22 21:00:42 +08:00
< div class = "line" > < a name = "l00867" > < / a > < span class = "lineno" > 867< / span >   < / div >
2018-01-09 22:44:43 +08:00
< div class = "line" > < a name = "l00868" > < / a > < span class = "lineno" > 868< / span >   }< / div >
< div class = "line" > < a name = "l00869" > < / a > < span class = "lineno" > 869< / span >   < / div >
< div class = "line" > < a name = "l00870" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1IndexScalarQuantizer.html#abf24732c29106bb808148c3d30599662" > 870< / a > < / span >   < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#abf24732c29106bb808148c3d30599662" > IndexScalarQuantizer::search< / a > (< / div >
< div class = "line" > < a name = "l00871" > < / a > < span class = "lineno" > 871< / span >   idx_t n,< / div >
< div class = "line" > < a name = "l00872" > < / a > < span class = "lineno" > 872< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > * x,< / div >
< div class = "line" > < a name = "l00873" > < / a > < span class = "lineno" > 873< / span >   idx_t k,< / div >
< div class = "line" > < a name = "l00874" > < / a > < span class = "lineno" > 874< / span >   < span class = "keywordtype" > float< / span > * distances,< / div >
< div class = "line" > < a name = "l00875" > < / a > < span class = "lineno" > 875< / span >   idx_t* labels)< span class = "keyword" > const< / span > < / div >
< div class = "line" > < a name = "l00876" > < / a > < span class = "lineno" > 876< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00877" > < / a > < span class = "lineno" > 877< / span >   FAISS_THROW_IF_NOT (< a class = "code" href = "structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f" > is_trained< / a > );< / div >
< div class = "line" > < a name = "l00878" > < / a > < span class = "lineno" > 878< / span >   < span class = "keywordflow" > if< / span > (< a class = "code" href = "structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e" > metric_type< / a > == METRIC_L2) {< / div >
< div class = "line" > < a name = "l00879" > < / a > < span class = "lineno" > 879< / span >   search_flat_scalar_quantizer< CMax< float, idx_t> > (*< span class = "keyword" > this< / span > , n, x, k, distances, labels);< / div >
< div class = "line" > < a name = "l00880" > < / a > < span class = "lineno" > 880< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00881" > < / a > < span class = "lineno" > 881< / span >   search_flat_scalar_quantizer< CMin< float, idx_t> > (*< span class = "keyword" > this< / span > , n, x, k, distances, labels);< / div >
< div class = "line" > < a name = "l00882" > < / a > < span class = "lineno" > 882< / span >   }< / div >
< div class = "line" > < a name = "l00883" > < / a > < span class = "lineno" > 883< / span >   }< / div >
< div class = "line" > < a name = "l00884" > < / a > < span class = "lineno" > 884< / span >   < / div >
< div class = "line" > < a name = "l00885" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1IndexScalarQuantizer.html#af0d6b901a2a02fff34e5c7c1ea5b8d55" > 885< / a > < / span >   < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#af0d6b901a2a02fff34e5c7c1ea5b8d55" > IndexScalarQuantizer::reset< / a > ()< / div >
< div class = "line" > < a name = "l00886" > < / a > < span class = "lineno" > 886< / span >   {< / div >
< div class = "line" > < a name = "l00887" > < / a > < span class = "lineno" > 887< / span >   < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a861fa059f9d4ced9147e08193a2be9be" > codes< / a > .clear();< / div >
< div class = "line" > < a name = "l00888" > < / a > < span class = "lineno" > 888< / span >   < a class = "code" href = "structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd" > ntotal< / a > = 0;< / div >
< div class = "line" > < a name = "l00889" > < / a > < span class = "lineno" > 889< / span >   }< / div >
< div class = "line" > < a name = "l00890" > < / a > < span class = "lineno" > 890< / span >   < / div >
< div class = "line" > < a name = "l00891" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1IndexScalarQuantizer.html#a06e6935b75f0b209f65fffa1c9e1477c" > 891< / a > < / span >   < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a06e6935b75f0b209f65fffa1c9e1477c" > IndexScalarQuantizer::reconstruct_n< / a > (< / div >
< div class = "line" > < a name = "l00892" > < / a > < span class = "lineno" > 892< / span >   idx_t i0, idx_t ni, < span class = "keywordtype" > float< / span > * recons)< span class = "keyword" > const< / span > < / div >
< div class = "line" > < a name = "l00893" > < / a > < span class = "lineno" > 893< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00894" > < / a > < span class = "lineno" > 894< / span >   Quantizer *squant = select_quantizer (< a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a71381f74754d8a54812e80af46a2a83a" > sq< / a > );< / div >
< div class = "line" > < a name = "l00895" > < / a > < span class = "lineno" > 895< / span >   < a class = "code" href = "structfaiss_1_1ScopeDeleter1.html" > ScopeDeleter1< Quantizer> < / a > del (squant);< / div >
< div class = "line" > < a name = "l00896" > < / a > < span class = "lineno" > 896< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < ni; i++) {< / div >
< div class = "line" > < a name = "l00897" > < / a > < span class = "lineno" > 897< / span >   squant-> decode_vector(& < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a861fa059f9d4ced9147e08193a2be9be" > codes< / a > [(i + i0) * code_size], recons + i * d);< / div >
< div class = "line" > < a name = "l00898" > < / a > < span class = "lineno" > 898< / span >   }< / div >
< div class = "line" > < a name = "l00899" > < / a > < span class = "lineno" > 899< / span >   }< / div >
< div class = "line" > < a name = "l00900" > < / a > < span class = "lineno" > 900< / span >   < / div >
< div class = "line" > < a name = "l00901" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1IndexScalarQuantizer.html#a8fb8680f64465d643d96119da58099f3" > 901< / a > < / span >   < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a8fb8680f64465d643d96119da58099f3" > IndexScalarQuantizer::reconstruct< / a > (idx_t key, < span class = "keywordtype" > float< / span > * recons)< span class = "keyword" > const< / span > < / div >
< div class = "line" > < a name = "l00902" > < / a > < span class = "lineno" > 902< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l00903" > < / a > < span class = "lineno" > 903< / span >   < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a06e6935b75f0b209f65fffa1c9e1477c" > reconstruct_n< / a > (key, 1, recons);< / div >
< div class = "line" > < a name = "l00904" > < / a > < span class = "lineno" > 904< / span >   }< / div >
2017-11-22 21:00:42 +08:00
< div class = "line" > < a name = "l00905" > < / a > < span class = "lineno" > 905< / span >   < / div >
2018-01-09 22:44:43 +08:00
< div class = "line" > < a name = "l00906" > < / a > < span class = "lineno" > 906< / span >   < / div >
< div class = "line" > < a name = "l00907" > < / a > < span class = "lineno" > 907< / span >   < span class = "comment" > /*******************************************************************< / span > < / div >
< div class = "line" > < a name = "l00908" > < / a > < span class = "lineno" > 908< / span >   < span class = "comment" > * IndexIVFScalarQuantizer implementation< / span > < / div >
< div class = "line" > < a name = "l00909" > < / a > < span class = "lineno" > 909< / span >   < span class = "comment" > ********************************************************************/< / span > < / div >
< div class = "line" > < a name = "l00910" > < / a > < span class = "lineno" > 910< / span >   < / div >
< div class = "line" > < a name = "l00911" > < / a > < span class = "lineno" > 911< / span >   IndexIVFScalarQuantizer::IndexIVFScalarQuantizer< / div >
< div class = "line" > < a name = "l00912" > < / a > < span class = "lineno" > 912< / span >   (< a class = "code" href = "structfaiss_1_1Index.html" > Index< / a > *quantizer, < span class = "keywordtype" > size_t< / span > d, < span class = "keywordtype" > size_t< / span > nlist,< / div >
< div class = "line" > < a name = "l00913" > < / a > < span class = "lineno" > 913< / span >   QuantizerType qtype, < a class = "code" href = "namespacefaiss.html#afd12191c638da74760ff397cf319752c" > MetricType< / a > metric):< / div >
2018-02-23 23:44:31 +08:00
< div class = "line" > < a name = "l00914" > < / a > < span class = "lineno" > 914< / span >   < a class = "code" href = "structfaiss_1_1IndexIVF.html" > IndexIVF< / a > (quantizer, d, nlist, 0, metric),< / div >
2018-01-09 22:44:43 +08:00
< div class = "line" > < a name = "l00915" > < / a > < span class = "lineno" > 915< / span >   sq (d, qtype)< / div >
< div class = "line" > < a name = "l00916" > < / a > < span class = "lineno" > 916< / span >   {< / div >
< div class = "line" > < a name = "l00917" > < / a > < span class = "lineno" > 917< / span >   code_size = < a class = "code" href = "structfaiss_1_1IndexScalarQuantizer.html#a71381f74754d8a54812e80af46a2a83a" > sq< / a > .< a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a647b8774e4cd8ca5623a194f5c7f8a33" > code_size< / a > ;< / div >
2018-02-23 23:44:31 +08:00
< div class = "line" > < a name = "l00918" > < / a > < span class = "lineno" > 918< / span >   < span class = "comment" > // was not known at construction time< / span > < / div >
< div class = "line" > < a name = "l00919" > < / a > < span class = "lineno" > 919< / span >   invlists-> code_size = code_size;< / div >
< div class = "line" > < a name = "l00920" > < / a > < span class = "lineno" > 920< / span >   < a class = "code" href = "structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f" > is_trained< / a > = < span class = "keyword" > false< / span > ;< / div >
< div class = "line" > < a name = "l00921" > < / a > < span class = "lineno" > 921< / span >   }< / div >
< div class = "line" > < a name = "l00922" > < / a > < span class = "lineno" > 922< / span >   < / div >
< div class = "line" > < a name = "l00923" > < / a > < span class = "lineno" > 923< / span >   IndexIVFScalarQuantizer::IndexIVFScalarQuantizer ():< / div >
< div class = "line" > < a name = "l00924" > < / a > < span class = "lineno" > 924< / span >   IndexIVF ()< / div >
< div class = "line" > < a name = "l00925" > < / a > < span class = "lineno" > 925< / span >   {}< / div >
< div class = "line" > < a name = "l00926" > < / a > < span class = "lineno" > 926< / span >   < / div >
< div class = "line" > < a name = "l00927" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1IndexIVFScalarQuantizer.html#ac05d7fbfed59c85d1cf8ae526d279744" > 927< / a > < / span >   < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1IndexIVFScalarQuantizer.html#ac05d7fbfed59c85d1cf8ae526d279744" > IndexIVFScalarQuantizer::train_residual< / a > (idx_t n, < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *x)< / div >
< div class = "line" > < a name = "l00928" > < / a > < span class = "lineno" > 928< / span >   {< / div >
< div class = "line" > < a name = "l00929" > < / a > < span class = "lineno" > 929< / span >   < span class = "keywordtype" > long< / span > * idx = < span class = "keyword" > new< / span > < span class = "keywordtype" > long< / span > [n];< / div >
< div class = "line" > < a name = "l00930" > < / a > < span class = "lineno" > 930< / span >   < a class = "code" href = "structfaiss_1_1ScopeDeleter.html" > ScopeDeleter< long> < / a > del (idx);< / div >
< div class = "line" > < a name = "l00931" > < / a > < span class = "lineno" > 931< / span >   < a class = "code" href = "structfaiss_1_1Level1Quantizer.html#a3cf99e2ee92b8558a066f821efab95d5" > quantizer< / a > -> < a class = "code" href = "structfaiss_1_1Index.html#a8bc5d8d1cd0dd7b34b3c98a9f76b4a9c" > assign< / a > (n, x, idx);< / div >
< div class = "line" > < a name = "l00932" > < / a > < span class = "lineno" > 932< / span >   < span class = "keywordtype" > float< / span > *residuals = < span class = "keyword" > new< / span > < span class = "keywordtype" > float< / span > [n * < a class = "code" href = "structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d" > d< / a > ];< / div >
< div class = "line" > < a name = "l00933" > < / a > < span class = "lineno" > 933< / span >   < a class = "code" href = "structfaiss_1_1ScopeDeleter.html" > ScopeDeleter< float> < / a > del2 (residuals);< / div >
< div class = "line" > < a name = "l00934" > < / a > < span class = "lineno" > 934< / span >   < / div >
< div class = "line" > < a name = "l00935" > < / a > < span class = "lineno" > 935< / span >   < span class = "preprocessor" > #pragma omp parallel for< / span > < / div >
< div class = "line" > < a name = "l00936" > < / a > < span class = "lineno" > 936< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > for< / span > (idx_t i = 0; i < n; i++) {< / div >
< div class = "line" > < a name = "l00937" > < / a > < span class = "lineno" > 937< / span >   < a class = "code" href = "structfaiss_1_1Level1Quantizer.html#a3cf99e2ee92b8558a066f821efab95d5" > quantizer< / a > -> < a class = "code" href = "structfaiss_1_1Index.html#aaae77608bbda70b1098897e9167a82f9" > compute_residual< / a > (x + i * d, residuals + i * d, idx[i]);< / div >
< div class = "line" > < a name = "l00938" > < / a > < span class = "lineno" > 938< / span >   }< / div >
2018-01-09 22:44:43 +08:00
< div class = "line" > < a name = "l00939" > < / a > < span class = "lineno" > 939< / span >   < / div >
2018-02-23 23:44:31 +08:00
< div class = "line" > < a name = "l00940" > < / a > < span class = "lineno" > 940< / span >   sq.train (n, residuals);< / div >
2018-01-09 22:44:43 +08:00
< div class = "line" > < a name = "l00941" > < / a > < span class = "lineno" > 941< / span >   < / div >
2018-02-23 23:44:31 +08:00
< div class = "line" > < a name = "l00942" > < / a > < span class = "lineno" > 942< / span >   }< / div >
< div class = "line" > < a name = "l00943" > < / a > < span class = "lineno" > 943< / span >   < / div >
< div class = "line" > < a name = "l00944" > < / a > < span class = "lineno" > 944< / span >   < / div >
< div class = "line" > < a name = "l00945" > < / a > < span class = "lineno" > 945< / span >   < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1IndexIVFScalarQuantizer.html#afa95c17787b7e3dbed9309b440d4d748" > IndexIVFScalarQuantizer::add_with_ids< / a > < / div >
< div class = "line" > < a name = "l00946" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1IndexIVFScalarQuantizer.html#afa95c17787b7e3dbed9309b440d4d748" > 946< / a > < / span >   (idx_t n, < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > * x, < span class = "keyword" > const< / span > < span class = "keywordtype" > long< / span > *xids)< / div >
< div class = "line" > < a name = "l00947" > < / a > < span class = "lineno" > 947< / span >   {< / div >
< div class = "line" > < a name = "l00948" > < / a > < span class = "lineno" > 948< / span >   FAISS_THROW_IF_NOT (is_trained);< / div >
< div class = "line" > < a name = "l00949" > < / a > < span class = "lineno" > 949< / span >   < span class = "keywordtype" > long< / span > * idx = < span class = "keyword" > new< / span > < span class = "keywordtype" > long< / span > [n];< / div >
< div class = "line" > < a name = "l00950" > < / a > < span class = "lineno" > 950< / span >   < a class = "code" href = "structfaiss_1_1ScopeDeleter.html" > ScopeDeleter< long> < / a > del (idx);< / div >
< div class = "line" > < a name = "l00951" > < / a > < span class = "lineno" > 951< / span >   quantizer-> assign (n, x, idx);< / div >
< div class = "line" > < a name = "l00952" > < / a > < span class = "lineno" > 952< / span >   < span class = "keywordtype" > size_t< / span > nadd = 0;< / div >
< div class = "line" > < a name = "l00953" > < / a > < span class = "lineno" > 953< / span >   Quantizer *squant = select_quantizer (sq);< / div >
< div class = "line" > < a name = "l00954" > < / a > < span class = "lineno" > 954< / span >   < a class = "code" href = "structfaiss_1_1ScopeDeleter1.html" > ScopeDeleter1< Quantizer> < / a > del2 (squant);< / div >
< div class = "line" > < a name = "l00955" > < / a > < span class = "lineno" > 955< / span >   < / div >
< div class = "line" > < a name = "l00956" > < / a > < span class = "lineno" > 956< / span >   < span class = "preprocessor" > #pragma omp parallel reduction(+: nadd)< / span > < / div >
< div class = "line" > < a name = "l00957" > < / a > < span class = "lineno" > 957< / span >   < span class = "preprocessor" > < / span > {< / div >
< div class = "line" > < a name = "l00958" > < / a > < span class = "lineno" > 958< / span >   std::vector< float> residual (d);< / div >
< div class = "line" > < a name = "l00959" > < / a > < span class = "lineno" > 959< / span >   std::vector< uint8_t> one_code (code_size);< / div >
< div class = "line" > < a name = "l00960" > < / a > < span class = "lineno" > 960< / span >   < span class = "keywordtype" > int< / span > nt = omp_get_num_threads();< / div >
< div class = "line" > < a name = "l00961" > < / a > < span class = "lineno" > 961< / span >   < span class = "keywordtype" > int< / span > rank = omp_get_thread_num();< / div >
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< div class = "line" > < a name = "l00962" > < / a > < span class = "lineno" > 962< / span >   < / div >
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< div class = "line" > < a name = "l00963" > < / a > < span class = "lineno" > 963< / span >   < span class = "comment" > // each thread takes care of a subset of lists< / span > < / div >
< div class = "line" > < a name = "l00964" > < / a > < span class = "lineno" > 964< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < n; i++) {< / div >
< div class = "line" > < a name = "l00965" > < / a > < span class = "lineno" > 965< / span >   < span class = "keywordtype" > long< / span > list_no = idx [i];< / div >
< div class = "line" > < a name = "l00966" > < / a > < span class = "lineno" > 966< / span >   < span class = "keywordflow" > if< / span > (list_no > = 0 & & list_no % nt == rank) {< / div >
< div class = "line" > < a name = "l00967" > < / a > < span class = "lineno" > 967< / span >   < span class = "keywordtype" > long< / span > < span class = "keywordtype" > id< / span > = xids ? xids[i] : ntotal + i;< / div >
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< div class = "line" > < a name = "l00968" > < / a > < span class = "lineno" > 968< / span >   < / div >
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< div class = "line" > < a name = "l00969" > < / a > < span class = "lineno" > 969< / span >   quantizer-> compute_residual (< / div >
< div class = "line" > < a name = "l00970" > < / a > < span class = "lineno" > 970< / span >   x + i * d, residual.data(), list_no);< / div >
< div class = "line" > < a name = "l00971" > < / a > < span class = "lineno" > 971< / span >   < / div >
< div class = "line" > < a name = "l00972" > < / a > < span class = "lineno" > 972< / span >   squant-> encode_vector (residual.data(), one_code.data());< / div >
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< div class = "line" > < a name = "l00973" > < / a > < span class = "lineno" > 973< / span >   < / div >
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< div class = "line" > < a name = "l00974" > < / a > < span class = "lineno" > 974< / span >   invlists-> add_entry (list_no, < span class = "keywordtype" > id< / span > , one_code.data());< / div >
< div class = "line" > < a name = "l00975" > < / a > < span class = "lineno" > 975< / span >   < / div >
< div class = "line" > < a name = "l00976" > < / a > < span class = "lineno" > 976< / span >   nadd++;< / div >
< div class = "line" > < a name = "l00977" > < / a > < span class = "lineno" > 977< / span >   < / div >
< div class = "line" > < a name = "l00978" > < / a > < span class = "lineno" > 978< / span >   }< / div >
< div class = "line" > < a name = "l00979" > < / a > < span class = "lineno" > 979< / span >   }< / div >
< div class = "line" > < a name = "l00980" > < / a > < span class = "lineno" > 980< / span >   }< / div >
< div class = "line" > < a name = "l00981" > < / a > < span class = "lineno" > 981< / span >   ntotal += nadd;< / div >
< div class = "line" > < a name = "l00982" > < / a > < span class = "lineno" > 982< / span >   }< / div >
< div class = "line" > < a name = "l00983" > < / a > < span class = "lineno" > 983< / span >   < / div >
< div class = "line" > < a name = "l00984" > < / a > < span class = "lineno" > 984< / span >   < span class = "keyword" > namespace < / span > {< / div >
< div class = "line" > < a name = "l00985" > < / a > < span class = "lineno" > 985< / span >   < / div >
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< div class = "line" > < a name = "l00986" > < / a > < span class = "lineno" > 986< / span >   < / div >
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< div class = "line" > < a name = "l00987" > < / a > < span class = "lineno" > 987< / span >   < span class = "keywordtype" > void< / span > search_with_probes_ip (< span class = "keyword" > const< / span > < a class = "code" href = "structfaiss_1_1IndexIVFScalarQuantizer.html" > IndexIVFScalarQuantizer< / a > & index,< / div >
< div class = "line" > < a name = "l00988" > < / a > < span class = "lineno" > 988< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *x,< / div >
< div class = "line" > < a name = "l00989" > < / a > < span class = "lineno" > 989< / span >   < span class = "keyword" > const< / span > idx_t *cent_ids, < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *cent_dis,< / div >
< div class = "line" > < a name = "l00990" > < / a > < span class = "lineno" > 990< / span >   DistanceComputer & dc,< / div >
< div class = "line" > < a name = "l00991" > < / a > < span class = "lineno" > 991< / span >   < span class = "keywordtype" > int< / span > k, < span class = "keywordtype" > float< / span > *simi, idx_t *idxi,< / div >
< div class = "line" > < a name = "l00992" > < / a > < span class = "lineno" > 992< / span >   < span class = "keywordtype" > bool< / span > store_pairs)< / div >
< div class = "line" > < a name = "l00993" > < / a > < span class = "lineno" > 993< / span >   {< / div >
< div class = "line" > < a name = "l00994" > < / a > < span class = "lineno" > 994< / span >   < span class = "keywordtype" > int< / span > nprobe = index.< a class = "code" href = "structfaiss_1_1IndexIVF.html#affed235eadf27a13d753ee4d33a1dc58" > nprobe< / a > ;< / div >
< div class = "line" > < a name = "l00995" > < / a > < span class = "lineno" > 995< / span >   < span class = "keywordtype" > size_t< / span > code_size = index.< a class = "code" href = "structfaiss_1_1IndexIVF.html#a46d1aeddb60643c5b3f096147c3e028f" > code_size< / a > ;< / div >
< div class = "line" > < a name = "l00996" > < / a > < span class = "lineno" > 996< / span >   < span class = "keywordtype" > size_t< / span > d = index.< a class = "code" href = "structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d" > d< / a > ;< / div >
< div class = "line" > < a name = "l00997" > < / a > < span class = "lineno" > 997< / span >   std::vector< float> decoded(d);< / div >
< div class = "line" > < a name = "l00998" > < / a > < span class = "lineno" > 998< / span >   minheap_heapify (k, simi, idxi);< / div >
< div class = "line" > < a name = "l00999" > < / a > < span class = "lineno" > 999< / span >   < span class = "keywordtype" > size_t< / span > nscan = 0;< / div >
< div class = "line" > < a name = "l01000" > < / a > < span class = "lineno" > 1000< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < nprobe; i++) {< / div >
< div class = "line" > < a name = "l01001" > < / a > < span class = "lineno" > 1001< / span >   idx_t list_no = cent_ids[i];< / div >
< div class = "line" > < a name = "l01002" > < / a > < span class = "lineno" > 1002< / span >   < span class = "keywordflow" > if< / span > (list_no < 0) < span class = "keywordflow" > break< / span > ;< / div >
< div class = "line" > < a name = "l01003" > < / a > < span class = "lineno" > 1003< / span >   < span class = "keywordtype" > float< / span > accu0 = cent_dis[i];< / div >
< div class = "line" > < a name = "l01004" > < / a > < span class = "lineno" > 1004< / span >   < / div >
< div class = "line" > < a name = "l01005" > < / a > < span class = "lineno" > 1005< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > size_t< / span > list_size = index.< a class = "code" href = "structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc" > invlists< / a > -> < a class = "code" href = "structfaiss_1_1InvertedLists.html#a9bd256053ee360473842105460fe285f" > list_size< / a > (list_no);< / div >
< div class = "line" > < a name = "l01006" > < / a > < span class = "lineno" > 1006< / span >   < span class = "keyword" > const< / span > uint8_t * codes = index.< a class = "code" href = "structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc" > invlists< / a > -> < a class = "code" href = "structfaiss_1_1InvertedLists.html#a60b12f9efe940b617a8380adceef4032" > get_codes< / a > (list_no);< / div >
< div class = "line" > < a name = "l01007" > < / a > < span class = "lineno" > 1007< / span >   < span class = "keyword" > const< / span > idx_t * ids =< / div >
< div class = "line" > < a name = "l01008" > < / a > < span class = "lineno" > 1008< / span >   store_pairs ? < span class = "keyword" > nullptr< / span > : index.< a class = "code" href = "structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc" > invlists< / a > -> < a class = "code" href = "structfaiss_1_1InvertedLists.html#a3ab6b389d8d85c5fbf23889064df7e95" > get_ids< / a > (list_no);< / div >
< div class = "line" > < a name = "l01009" > < / a > < span class = "lineno" > 1009< / span >   < / div >
< div class = "line" > < a name = "l01010" > < / a > < span class = "lineno" > 1010< / span >   SimilarityIP sim(x);< / div >
< div class = "line" > < a name = "l01011" > < / a > < span class = "lineno" > 1011< / span >   < / div >
< div class = "line" > < a name = "l01012" > < / a > < span class = "lineno" > 1012< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > j = 0; j < list_size; j++) {< / div >
< div class = "line" > < a name = "l01013" > < / a > < span class = "lineno" > 1013< / span >   < / div >
< div class = "line" > < a name = "l01014" > < / a > < span class = "lineno" > 1014< / span >   < span class = "keywordtype" > float< / span > accu = accu0 + dc.compute_distance(x, codes);< / div >
< div class = "line" > < a name = "l01015" > < / a > < span class = "lineno" > 1015< / span >   < / div >
< div class = "line" > < a name = "l01016" > < / a > < span class = "lineno" > 1016< / span >   < span class = "keywordflow" > if< / span > (accu > simi [0]) {< / div >
< div class = "line" > < a name = "l01017" > < / a > < span class = "lineno" > 1017< / span >   minheap_pop (k, simi, idxi);< / div >
< div class = "line" > < a name = "l01018" > < / a > < span class = "lineno" > 1018< / span >   < span class = "keywordtype" > long< / span > < span class = "keywordtype" > id< / span > = store_pairs ? (list_no < < 32 | j) : ids[j];< / div >
< div class = "line" > < a name = "l01019" > < / a > < span class = "lineno" > 1019< / span >   minheap_push (k, simi, idxi, accu, < span class = "keywordtype" > id< / span > );< / div >
< div class = "line" > < a name = "l01020" > < / a > < span class = "lineno" > 1020< / span >   }< / div >
< div class = "line" > < a name = "l01021" > < / a > < span class = "lineno" > 1021< / span >   codes += code_size;< / div >
< div class = "line" > < a name = "l01022" > < / a > < span class = "lineno" > 1022< / span >   }< / div >
< div class = "line" > < a name = "l01023" > < / a > < span class = "lineno" > 1023< / span >   nscan += list_size;< / div >
< div class = "line" > < a name = "l01024" > < / a > < span class = "lineno" > 1024< / span >   < span class = "keywordflow" > if< / span > (index.< a class = "code" href = "structfaiss_1_1IndexIVF.html#a7f2dd34f66f8770acba74a0a591fa4a8" > max_codes< / a > & & nscan > index.< a class = "code" href = "structfaiss_1_1IndexIVF.html#a7f2dd34f66f8770acba74a0a591fa4a8" > max_codes< / a > )< / div >
< div class = "line" > < a name = "l01025" > < / a > < span class = "lineno" > 1025< / span >   < span class = "keywordflow" > break< / span > ;< / div >
< div class = "line" > < a name = "l01026" > < / a > < span class = "lineno" > 1026< / span >   }< / div >
< div class = "line" > < a name = "l01027" > < / a > < span class = "lineno" > 1027< / span >   minheap_reorder (k, simi, idxi);< / div >
< div class = "line" > < a name = "l01028" > < / a > < span class = "lineno" > 1028< / span >   }< / div >
< div class = "line" > < a name = "l01029" > < / a > < span class = "lineno" > 1029< / span >   < / div >
< div class = "line" > < a name = "l01030" > < / a > < span class = "lineno" > 1030< / span >   < span class = "keywordtype" > void< / span > search_with_probes_L2 (< span class = "keyword" > const< / span > IndexIVFScalarQuantizer & index,< / div >
< div class = "line" > < a name = "l01031" > < / a > < span class = "lineno" > 1031< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *x_in,< / div >
< div class = "line" > < a name = "l01032" > < / a > < span class = "lineno" > 1032< / span >   < span class = "keyword" > const< / span > idx_t *cent_ids,< / div >
< div class = "line" > < a name = "l01033" > < / a > < span class = "lineno" > 1033< / span >   < span class = "keyword" > const< / span > Index *quantizer,< / div >
< div class = "line" > < a name = "l01034" > < / a > < span class = "lineno" > 1034< / span >   DistanceComputer & dc,< / div >
< div class = "line" > < a name = "l01035" > < / a > < span class = "lineno" > 1035< / span >   < span class = "keywordtype" > int< / span > k, < span class = "keywordtype" > float< / span > *simi, idx_t *idxi,< / div >
< div class = "line" > < a name = "l01036" > < / a > < span class = "lineno" > 1036< / span >   < span class = "keywordtype" > bool< / span > store_pairs)< / div >
< div class = "line" > < a name = "l01037" > < / a > < span class = "lineno" > 1037< / span >   {< / div >
< div class = "line" > < a name = "l01038" > < / a > < span class = "lineno" > 1038< / span >   < span class = "keywordtype" > int< / span > nprobe = index.nprobe;< / div >
< div class = "line" > < a name = "l01039" > < / a > < span class = "lineno" > 1039< / span >   < span class = "keywordtype" > size_t< / span > code_size = index.code_size;< / div >
< div class = "line" > < a name = "l01040" > < / a > < span class = "lineno" > 1040< / span >   < span class = "keywordtype" > size_t< / span > d = index.d;< / div >
< div class = "line" > < a name = "l01041" > < / a > < span class = "lineno" > 1041< / span >   std::vector< float> x(d);< / div >
< div class = "line" > < a name = "l01042" > < / a > < span class = "lineno" > 1042< / span >   maxheap_heapify (k, simi, idxi);< / div >
< div class = "line" > < a name = "l01043" > < / a > < span class = "lineno" > 1043< / span >   < span class = "keywordtype" > size_t< / span > nscan = 0;< / div >
< div class = "line" > < a name = "l01044" > < / a > < span class = "lineno" > 1044< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < nprobe; i++) {< / div >
< div class = "line" > < a name = "l01045" > < / a > < span class = "lineno" > 1045< / span >   idx_t list_no = cent_ids[i];< / div >
< div class = "line" > < a name = "l01046" > < / a > < span class = "lineno" > 1046< / span >   < span class = "keywordflow" > if< / span > (list_no < 0) < span class = "keywordflow" > break< / span > ;< / div >
< div class = "line" > < a name = "l01047" > < / a > < span class = "lineno" > 1047< / span >   < / div >
< div class = "line" > < a name = "l01048" > < / a > < span class = "lineno" > 1048< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > size_t< / span > list_size = index.invlists-> list_size (list_no);< / div >
< div class = "line" > < a name = "l01049" > < / a > < span class = "lineno" > 1049< / span >   < span class = "keyword" > const< / span > uint8_t * codes = index.invlists-> get_codes (list_no);< / div >
< div class = "line" > < a name = "l01050" > < / a > < span class = "lineno" > 1050< / span >   < span class = "keyword" > const< / span > idx_t * ids =< / div >
< div class = "line" > < a name = "l01051" > < / a > < span class = "lineno" > 1051< / span >   store_pairs ? < span class = "keyword" > nullptr< / span > : index.invlists-> get_ids (list_no);< / div >
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< div class = "line" > < a name = "l01052" > < / a > < span class = "lineno" > 1052< / span >   < / div >
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< div class = "line" > < a name = "l01053" > < / a > < span class = "lineno" > 1053< / span >   < span class = "comment" > // shift of x_in wrt centroid< / span > < / div >
< div class = "line" > < a name = "l01054" > < / a > < span class = "lineno" > 1054< / span >   quantizer-> compute_residual (x_in, x.data(), list_no);< / div >
< div class = "line" > < a name = "l01055" > < / a > < span class = "lineno" > 1055< / span >   < / div >
< div class = "line" > < a name = "l01056" > < / a > < span class = "lineno" > 1056< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > j = 0; j < list_size; j++) {< / div >
< div class = "line" > < a name = "l01057" > < / a > < span class = "lineno" > 1057< / span >   < / div >
< div class = "line" > < a name = "l01058" > < / a > < span class = "lineno" > 1058< / span >   < span class = "keywordtype" > float< / span > dis = dc.compute_distance (x.data(), codes);< / div >
< div class = "line" > < a name = "l01059" > < / a > < span class = "lineno" > 1059< / span >   < / div >
< div class = "line" > < a name = "l01060" > < / a > < span class = "lineno" > 1060< / span >   < span class = "keywordflow" > if< / span > (dis < simi [0]) {< / div >
< div class = "line" > < a name = "l01061" > < / a > < span class = "lineno" > 1061< / span >   maxheap_pop (k, simi, idxi);< / div >
< div class = "line" > < a name = "l01062" > < / a > < span class = "lineno" > 1062< / span >   < span class = "keywordtype" > long< / span > < span class = "keywordtype" > id< / span > = store_pairs ? (list_no < < 32 | j) : ids[j];< / div >
< div class = "line" > < a name = "l01063" > < / a > < span class = "lineno" > 1063< / span >   maxheap_push (k, simi, idxi, dis, < span class = "keywordtype" > id< / span > );< / div >
< div class = "line" > < a name = "l01064" > < / a > < span class = "lineno" > 1064< / span >   }< / div >
< div class = "line" > < a name = "l01065" > < / a > < span class = "lineno" > 1065< / span >   codes += code_size;< / div >
< div class = "line" > < a name = "l01066" > < / a > < span class = "lineno" > 1066< / span >   }< / div >
< div class = "line" > < a name = "l01067" > < / a > < span class = "lineno" > 1067< / span >   nscan += list_size;< / div >
< div class = "line" > < a name = "l01068" > < / a > < span class = "lineno" > 1068< / span >   < span class = "keywordflow" > if< / span > (index.max_codes & & nscan > index.max_codes)< / div >
< div class = "line" > < a name = "l01069" > < / a > < span class = "lineno" > 1069< / span >   < span class = "keywordflow" > break< / span > ;< / div >
< div class = "line" > < a name = "l01070" > < / a > < span class = "lineno" > 1070< / span >   }< / div >
< div class = "line" > < a name = "l01071" > < / a > < span class = "lineno" > 1071< / span >   maxheap_reorder (k, simi, idxi);< / div >
< div class = "line" > < a name = "l01072" > < / a > < span class = "lineno" > 1072< / span >   }< / div >
< div class = "line" > < a name = "l01073" > < / a > < span class = "lineno" > 1073< / span >   < / div >
< div class = "line" > < a name = "l01074" > < / a > < span class = "lineno" > 1074< / span >   } < span class = "comment" > // anonymous namespace< / span > < / div >
< div class = "line" > < a name = "l01075" > < / a > < span class = "lineno" > 1075< / span >   < / div >
< div class = "line" > < a name = "l01076" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1IndexIVFScalarQuantizer.html#a341e473a62adcb03e07e53f67c1a7358" > 1076< / a > < / span >   < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1IndexIVFScalarQuantizer.html#a341e473a62adcb03e07e53f67c1a7358" > IndexIVFScalarQuantizer::search_preassigned< / a > (< / div >
< div class = "line" > < a name = "l01077" > < / a > < span class = "lineno" > 1077< / span >   idx_t n, < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *x, idx_t k,< / div >
< div class = "line" > < a name = "l01078" > < / a > < span class = "lineno" > 1078< / span >   < span class = "keyword" > const< / span > idx_t *idx,< / div >
< div class = "line" > < a name = "l01079" > < / a > < span class = "lineno" > 1079< / span >   < span class = "keyword" > const< / span > < span class = "keywordtype" > float< / span > *dis,< / div >
< div class = "line" > < a name = "l01080" > < / a > < span class = "lineno" > 1080< / span >   < span class = "keywordtype" > float< / span > *distances, idx_t *labels,< / div >
< div class = "line" > < a name = "l01081" > < / a > < span class = "lineno" > 1081< / span >   < span class = "keywordtype" > bool< / span > store_pairs)< span class = "keyword" > const< / span > < / div >
< div class = "line" > < a name = "l01082" > < / a > < span class = "lineno" > 1082< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l01083" > < / a > < span class = "lineno" > 1083< / span >   FAISS_THROW_IF_NOT (< a class = "code" href = "structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f" > is_trained< / a > );< / div >
< div class = "line" > < a name = "l01084" > < / a > < span class = "lineno" > 1084< / span >   < / div >
< div class = "line" > < a name = "l01085" > < / a > < span class = "lineno" > 1085< / span >   < / div >
< div class = "line" > < a name = "l01086" > < / a > < span class = "lineno" > 1086< / span >   < span class = "keywordflow" > if< / span > (< a class = "code" href = "structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e" > metric_type< / a > == METRIC_INNER_PRODUCT) {< / div >
< div class = "line" > < a name = "l01087" > < / a > < span class = "lineno" > 1087< / span >   < span class = "preprocessor" > #pragma omp parallel< / span > < / div >
< div class = "line" > < a name = "l01088" > < / a > < span class = "lineno" > 1088< / span >   < span class = "preprocessor" > < / span > {< / div >
< div class = "line" > < a name = "l01089" > < / a > < span class = "lineno" > 1089< / span >   DistanceComputer *dc = sq.get_distance_computer (< a class = "code" href = "structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e" > metric_type< / a > );< / div >
< div class = "line" > < a name = "l01090" > < / a > < span class = "lineno" > 1090< / span >   < a class = "code" href = "structfaiss_1_1ScopeDeleter1.html" > ScopeDeleter1< DistanceComputer> < / a > del(dc);< / div >
< div class = "line" > < a name = "l01091" > < / a > < span class = "lineno" > 1091< / span >   < span class = "preprocessor" > #pragma omp for< / span > < / div >
< div class = "line" > < a name = "l01092" > < / a > < span class = "lineno" > 1092< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < n; i++) {< / div >
< div class = "line" > < a name = "l01093" > < / a > < span class = "lineno" > 1093< / span >   search_with_probes_ip (*< span class = "keyword" > this< / span > , x + i * d,< / div >
< div class = "line" > < a name = "l01094" > < / a > < span class = "lineno" > 1094< / span >   idx + i * nprobe, dis + i * nprobe, *dc,< / div >
< div class = "line" > < a name = "l01095" > < / a > < span class = "lineno" > 1095< / span >   k, distances + i * k, labels + i * k,< / div >
< div class = "line" > < a name = "l01096" > < / a > < span class = "lineno" > 1096< / span >   store_pairs);< / div >
< div class = "line" > < a name = "l01097" > < / a > < span class = "lineno" > 1097< / span >   }< / div >
< div class = "line" > < a name = "l01098" > < / a > < span class = "lineno" > 1098< / span >   }< / div >
< div class = "line" > < a name = "l01099" > < / a > < span class = "lineno" > 1099< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l01100" > < / a > < span class = "lineno" > 1100< / span >   < span class = "preprocessor" > #pragma omp parallel< / span > < / div >
< div class = "line" > < a name = "l01101" > < / a > < span class = "lineno" > 1101< / span >   < span class = "preprocessor" > < / span > {< / div >
< div class = "line" > < a name = "l01102" > < / a > < span class = "lineno" > 1102< / span >   DistanceComputer *dc = sq.get_distance_computer (< a class = "code" href = "structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e" > metric_type< / a > );< / div >
< div class = "line" > < a name = "l01103" > < / a > < span class = "lineno" > 1103< / span >   < a class = "code" href = "structfaiss_1_1ScopeDeleter1.html" > ScopeDeleter1< DistanceComputer> < / a > del(dc);< / div >
< div class = "line" > < a name = "l01104" > < / a > < span class = "lineno" > 1104< / span >   < span class = "preprocessor" > #pragma omp for< / span > < / div >
< div class = "line" > < a name = "l01105" > < / a > < span class = "lineno" > 1105< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > size_t< / span > i = 0; i < n; i++) {< / div >
< div class = "line" > < a name = "l01106" > < / a > < span class = "lineno" > 1106< / span >   search_with_probes_L2 (*< span class = "keyword" > this< / span > , x + i * d,< / div >
< div class = "line" > < a name = "l01107" > < / a > < span class = "lineno" > 1107< / span >   idx + i * nprobe, quantizer, *dc,< / div >
< div class = "line" > < a name = "l01108" > < / a > < span class = "lineno" > 1108< / span >   k, distances + i * k, labels + i * k,< / div >
< div class = "line" > < a name = "l01109" > < / a > < span class = "lineno" > 1109< / span >   store_pairs);< / div >
< div class = "line" > < a name = "l01110" > < / a > < span class = "lineno" > 1110< / span >   }< / div >
< div class = "line" > < a name = "l01111" > < / a > < span class = "lineno" > 1111< / span >   }< / div >
< div class = "line" > < a name = "l01112" > < / a > < span class = "lineno" > 1112< / span >   }< / div >
< div class = "line" > < a name = "l01113" > < / a > < span class = "lineno" > 1113< / span >   < / div >
< div class = "line" > < a name = "l01114" > < / a > < span class = "lineno" > 1114< / span >   }< / div >
< div class = "line" > < a name = "l01115" > < / a > < span class = "lineno" > 1115< / span >   < / div >
< div class = "line" > < a name = "l01116" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1IndexIVFScalarQuantizer.html#a0320af8f30a0e3491853743b8f6d0faa" > 1116< / a > < / span >   < span class = "keywordtype" > void< / span > < a class = "code" href = "structfaiss_1_1IndexIVFScalarQuantizer.html#a0320af8f30a0e3491853743b8f6d0faa" > IndexIVFScalarQuantizer::reconstruct_from_offset< / a > (< span class = "keywordtype" > long< / span > list_no,< / div >
< div class = "line" > < a name = "l01117" > < / a > < span class = "lineno" > 1117< / span >   < span class = "keywordtype" > long< / span > offset,< / div >
< div class = "line" > < a name = "l01118" > < / a > < span class = "lineno" > 1118< / span >   < span class = "keywordtype" > float< / span > * recons)< span class = "keyword" > const< / span > < / div >
< div class = "line" > < a name = "l01119" > < / a > < span class = "lineno" > 1119< / span >   < span class = "keyword" > < / span > {< / div >
< div class = "line" > < a name = "l01120" > < / a > < span class = "lineno" > 1120< / span >   std::vector< float> centroid(d);< / div >
< div class = "line" > < a name = "l01121" > < / a > < span class = "lineno" > 1121< / span >   quantizer-> reconstruct (list_no, centroid.data());< / div >
< div class = "line" > < a name = "l01122" > < / a > < span class = "lineno" > 1122< / span >   < / div >
< div class = "line" > < a name = "l01123" > < / a > < span class = "lineno" > 1123< / span >   < span class = "keyword" > const< / span > uint8_t* code = < a class = "code" href = "structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc" > invlists< / a > -> < a class = "code" href = "structfaiss_1_1InvertedLists.html#afc2760bed7c210f2fad9b03109f561ee" > get_single_code< / a > (list_no, offset);< / div >
< div class = "line" > < a name = "l01124" > < / a > < span class = "lineno" > 1124< / span >   sq.< a class = "code" href = "structfaiss_1_1ScalarQuantizer.html#a7ab9e9158da1777d45e6f9bf73bfd489" > decode< / a > (code, recons, 1);< / div >
< div class = "line" > < a name = "l01125" > < / a > < span class = "lineno" > 1125< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < < a class = "code" href = "structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d" > d< / a > ; ++i) {< / div >
< div class = "line" > < a name = "l01126" > < / a > < span class = "lineno" > 1126< / span >   recons[i] += centroid[i];< / div >
< div class = "line" > < a name = "l01127" > < / a > < span class = "lineno" > 1127< / span >   }< / div >
< div class = "line" > < a name = "l01128" > < / a > < span class = "lineno" > 1128< / span >   }< / div >
< div class = "line" > < a name = "l01129" > < / a > < span class = "lineno" > 1129< / span >   < / div >
< div class = "line" > < a name = "l01130" > < / a > < span class = "lineno" > 1130< / span >   } < span class = "comment" > // namespace faiss< / span > < / div >
< div class = "ttc" id = "structfaiss_1_1IndexIVF_html" > < div class = "ttname" > < a href = "structfaiss_1_1IndexIVF.html" > faiss::IndexIVF< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexIVF_8h_source.html#l00166" > IndexIVF.h:166< / a > < / div > < / div >
2017-07-26 18:11:01 +08:00
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a647b8774e4cd8ca5623a194f5c7f8a33" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a647b8774e4cd8ca5623a194f5c7f8a33" > faiss::ScalarQuantizer::code_size< / a > < / div > < div class = "ttdeci" > size_t code_size< / div > < div class = "ttdoc" > bytes per vector < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00060" > IndexScalarQuantizer.h:60< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952e" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952e" > faiss::ScalarQuantizer::QuantizerType< / a > < / div > < div class = "ttdeci" > QuantizerType< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00032" > IndexScalarQuantizer.h:32< / a > < / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexScalarQuantizer_html_abf24732c29106bb808148c3d30599662" > < div class = "ttname" > < a href = "structfaiss_1_1IndexScalarQuantizer.html#abf24732c29106bb808148c3d30599662" > faiss::IndexScalarQuantizer::search< / a > < / div > < div class = "ttdeci" > void search(idx_t n, const float *x, idx_t k, float *distances, idx_t *labels) const override< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8cpp_source.html#l00870" > IndexScalarQuantizer.cpp:870< / a > < / div > < / div >
2018-02-23 23:44:31 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexIVFScalarQuantizer_html_ac05d7fbfed59c85d1cf8ae526d279744" > < div class = "ttname" > < a href = "structfaiss_1_1IndexIVFScalarQuantizer.html#ac05d7fbfed59c85d1cf8ae526d279744" > faiss::IndexIVFScalarQuantizer::train_residual< / a > < / div > < div class = "ttdeci" > void train_residual(idx_t n, const float *x) override< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8cpp_source.html#l00927" > IndexScalarQuantizer.cpp:927< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1InvertedLists_html_a3ab6b389d8d85c5fbf23889064df7e95" > < div class = "ttname" > < a href = "structfaiss_1_1InvertedLists.html#a3ab6b389d8d85c5fbf23889064df7e95" > faiss::InvertedLists::get_ids< / a > < / div > < div class = "ttdeci" > virtual const idx_t * get_ids(size_t list_no) const =0< / div > < / div >
2017-07-26 18:11:01 +08:00
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06ab0709ff74c1b882b64a7fdd7ca5df9a3" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06ab0709ff74c1b882b64a7fdd7ca5df9a3" > faiss::ScalarQuantizer::RS_optim< / a > < / div > < div class = "ttdoc" > alternate optimization of reconstruction error < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00050" > IndexScalarQuantizer.h:50< / a > < / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexScalarQuantizer_html" > < div class = "ttname" > < a href = "structfaiss_1_1IndexScalarQuantizer.html" > faiss::IndexScalarQuantizer< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00099" > IndexScalarQuantizer.h:99< / a > < / div > < / div >
2017-07-26 18:11:01 +08:00
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea029f07a15ea64e7e73daaf9633ac429a" > faiss::ScalarQuantizer::QT_8bit_uniform< / a > < / div > < div class = "ttdoc" > same, shared range for all dimensions < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00035" > IndexScalarQuantizer.h:35< / a > < / div > < / div >
2018-02-23 23:44:31 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexIVFScalarQuantizer_html_a0320af8f30a0e3491853743b8f6d0faa" > < div class = "ttname" > < a href = "structfaiss_1_1IndexIVFScalarQuantizer.html#a0320af8f30a0e3491853743b8f6d0faa" > faiss::IndexIVFScalarQuantizer::reconstruct_from_offset< / a > < / div > < div class = "ttdeci" > void reconstruct_from_offset(long list_no, long offset, float *recons) const override< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8cpp_source.html#l01116" > IndexScalarQuantizer.cpp:1116< / a > < / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexScalarQuantizer_html_ad49602f9ecfcaa2ec8737a449b69ccd7" > < div class = "ttname" > < a href = "structfaiss_1_1IndexScalarQuantizer.html#ad49602f9ecfcaa2ec8737a449b69ccd7" > faiss::IndexScalarQuantizer::add< / a > < / div > < div class = "ttdeci" > void add(idx_t n, const float *x) override< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8cpp_source.html#l00815" > IndexScalarQuantizer.cpp:815< / a > < / div > < / div >
2018-02-23 23:44:31 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexIVF_html_affed235eadf27a13d753ee4d33a1dc58" > < div class = "ttname" > < a href = "structfaiss_1_1IndexIVF.html#affed235eadf27a13d753ee4d33a1dc58" > faiss::IndexIVF::nprobe< / a > < / div > < div class = "ttdeci" > size_t nprobe< / div > < div class = "ttdoc" > number of probes at query time < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexIVF_8h_source.html#l00173" > IndexIVF.h:173< / a > < / div > < / div >
2017-07-26 18:11:01 +08:00
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952eacd3d1bd71533a7bc52149e4b3d1db13b" > faiss::ScalarQuantizer::QT_4bit< / a > < / div > < div class = "ttdoc" > 4 bits per component < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00034" > IndexScalarQuantizer.h:34< / a > < / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1Index_html_a8bc5d8d1cd0dd7b34b3c98a9f76b4a9c" > < div class = "ttname" > < a href = "structfaiss_1_1Index.html#a8bc5d8d1cd0dd7b34b3c98a9f76b4a9c" > faiss::Index::assign< / a > < / div > < div class = "ttdeci" > void assign(idx_t n, const float *x, idx_t *labels, idx_t k=1)< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Index_8cpp_source.html#l00034" > Index.cpp:34< / a > < / div > < / div >
2018-02-23 23:44:31 +08:00
< div class = "ttc" id = "structfaiss_1_1InvertedLists_html_a9bd256053ee360473842105460fe285f" > < div class = "ttname" > < a href = "structfaiss_1_1InvertedLists.html#a9bd256053ee360473842105460fe285f" > faiss::InvertedLists::list_size< / a > < / div > < div class = "ttdeci" > virtual size_t list_size(size_t list_no) const =0< / div > < div class = "ttdoc" > get the size of a list < / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexScalarQuantizer_html_af0d6b901a2a02fff34e5c7c1ea5b8d55" > < div class = "ttname" > < a href = "structfaiss_1_1IndexScalarQuantizer.html#af0d6b901a2a02fff34e5c7c1ea5b8d55" > faiss::IndexScalarQuantizer::reset< / a > < / div > < div class = "ttdeci" > void reset() override< / div > < div class = "ttdoc" > removes all elements from the database. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8cpp_source.html#l00885" > IndexScalarQuantizer.cpp:885< / a > < / div > < / div >
2017-07-18 17:43:35 +08:00
< div class = "ttc" id = "structfaiss_1_1ScopeDeleter1_html" > < div class = "ttname" > < a href = "structfaiss_1_1ScopeDeleter1.html" > faiss::ScopeDeleter1< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "FaissException_8h_source.html#l00052" > FaissException.h:52< / a > < / div > < / div >
2017-07-26 18:11:01 +08:00
< div class = "ttc" id = "structfaiss_1_1ScopeDeleter_html" > < div class = "ttname" > < a href = "structfaiss_1_1ScopeDeleter.html" > faiss::ScopeDeleter< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "FaissException_8h_source.html#l00039" > FaissException.h:39< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html" > faiss::ScalarQuantizer< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00030" > IndexScalarQuantizer.h:30< / a > < / div > < / div >
2018-02-23 23:44:31 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexIVFScalarQuantizer_html_afa95c17787b7e3dbed9309b440d4d748" > < div class = "ttname" > < a href = "structfaiss_1_1IndexIVFScalarQuantizer.html#afa95c17787b7e3dbed9309b440d4d748" > faiss::IndexIVFScalarQuantizer::add_with_ids< / a > < / div > < div class = "ttdeci" > void add_with_ids(idx_t n, const float *x, const long *xids) override< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8cpp_source.html#l00946" > IndexScalarQuantizer.cpp:946< / a > < / div > < / div >
2017-07-18 17:43:35 +08:00
< div class = "ttc" id = "structfaiss_1_1Index_html_a2a002388d2c081c2dbab8508dcefe73d" > < div class = "ttname" > < a href = "structfaiss_1_1Index.html#a2a002388d2c081c2dbab8508dcefe73d" > faiss::Index::d< / a > < / div > < div class = "ttdeci" > int d< / div > < div class = "ttdoc" > vector dimension < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Index_8h_source.html#l00064" > Index.h:64< / a > < / div > < / div >
2018-02-23 23:44:31 +08:00
< div class = "ttc" id = "structfaiss_1_1InvertedLists_html_afc2760bed7c210f2fad9b03109f561ee" > < div class = "ttname" > < a href = "structfaiss_1_1InvertedLists.html#afc2760bed7c210f2fad9b03109f561ee" > faiss::InvertedLists::get_single_code< / a > < / div > < div class = "ttdeci" > virtual const uint8_t * get_single_code(size_t list_no, size_t offset) const < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexIVF_8cpp_source.html#l00129" > IndexIVF.cpp:129< / a > < / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexScalarQuantizer_html_a861fa059f9d4ced9147e08193a2be9be" > < div class = "ttname" > < a href = "structfaiss_1_1IndexScalarQuantizer.html#a861fa059f9d4ced9147e08193a2be9be" > faiss::IndexScalarQuantizer::codes< / a > < / div > < div class = "ttdeci" > std::vector< uint8_t > codes< / div > < div class = "ttdoc" > Codes. Size ntotal * pq.code_size. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00104" > IndexScalarQuantizer.h:104< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_1_1DistanceComputer_html" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer_1_1DistanceComputer.html" > faiss::ScalarQuantizer::DistanceComputer< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00081" > IndexScalarQuantizer.h:81< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1IndexScalarQuantizer_html_a71381f74754d8a54812e80af46a2a83a" > < div class = "ttname" > < a href = "structfaiss_1_1IndexScalarQuantizer.html#a71381f74754d8a54812e80af46a2a83a" > faiss::IndexScalarQuantizer::sq< / a > < / div > < div class = "ttdeci" > ScalarQuantizer sq< / div > < div class = "ttdoc" > Used to encode the vectors. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00101" > IndexScalarQuantizer.h:101< / a > < / div > < / div >
2017-07-18 17:43:35 +08:00
< div class = "ttc" id = "structfaiss_1_1Index_html_a040c6aed1f224f3ea7bf58eebc0c31a4" > < div class = "ttname" > < a href = "structfaiss_1_1Index.html#a040c6aed1f224f3ea7bf58eebc0c31a4" > faiss::Index::idx_t< / a > < / div > < div class = "ttdeci" > long idx_t< / div > < div class = "ttdoc" > all indices are this type < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Index_8h_source.html#l00062" > Index.h:62< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1Index_html_a6970683faa021b7a6f1a0865c0d4eccd" > < div class = "ttname" > < a href = "structfaiss_1_1Index.html#a6970683faa021b7a6f1a0865c0d4eccd" > faiss::Index::ntotal< / a > < / div > < div class = "ttdeci" > idx_t ntotal< / div > < div class = "ttdoc" > total nb of indexed vectors < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Index_8h_source.html#l00065" > Index.h:65< / a > < / div > < / div >
2017-07-26 18:11:01 +08:00
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06" > faiss::ScalarQuantizer::RangeStat< / a > < / div > < div class = "ttdeci" > RangeStat< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00046" > IndexScalarQuantizer.h:46< / a > < / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexIVFScalarQuantizer_html" > < div class = "ttname" > < a href = "structfaiss_1_1IndexIVFScalarQuantizer.html" > faiss::IndexIVFScalarQuantizer< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00146" > IndexScalarQuantizer.h:146< / a > < / div > < / div >
2017-07-26 18:11:01 +08:00
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06ae41cccec3a7acbcb3a47fa63c2bfb4c8" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06ae41cccec3a7acbcb3a47fa63c2bfb4c8" > faiss::ScalarQuantizer::RS_quantiles< / a > < / div > < div class = "ttdoc" > [Q(rs), Q(1-rs)] < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00049" > IndexScalarQuantizer.h:49< / a > < / div > < / div >
2018-02-23 23:44:31 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexIVFScalarQuantizer_html_a341e473a62adcb03e07e53f67c1a7358" > < div class = "ttname" > < a href = "structfaiss_1_1IndexIVFScalarQuantizer.html#a341e473a62adcb03e07e53f67c1a7358" > faiss::IndexIVFScalarQuantizer::search_preassigned< / a > < / div > < div class = "ttdeci" > void search_preassigned(idx_t n, const float *x, idx_t k, const idx_t *assign, const float *centroid_dis, float *distances, idx_t *labels, bool store_pairs) const override< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8cpp_source.html#l01076" > IndexScalarQuantizer.cpp:1076< / a > < / div > < / div >
2017-07-26 18:11:01 +08:00
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06afb4b9f4ee9003fa0193e6de69632f7a0" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06afb4b9f4ee9003fa0193e6de69632f7a0" > faiss::ScalarQuantizer::RS_meanstd< / a > < / div > < div class = "ttdoc" > [mean - std * rs, mean + std * rs] < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00048" > IndexScalarQuantizer.h:48< / a > < / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a7ab9e9158da1777d45e6f9bf73bfd489" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a7ab9e9158da1777d45e6f9bf73bfd489" > faiss::ScalarQuantizer::decode< / a > < / div > < div class = "ttdeci" > void decode(const uint8_t *code, float *x, size_t n) const < / div > < div class = "ttdoc" > decode a vector from a given code (or n vectors if third argument) < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8cpp_source.html#l00768" > IndexScalarQuantizer.cpp:768< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a2bccf276565c4f80fed3d0c715c58816" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a2bccf276565c4f80fed3d0c715c58816" > faiss::ScalarQuantizer::compute_codes< / a > < / div > < div class = "ttdeci" > void compute_codes(const float *x, uint8_t *codes, size_t n) const < / div > < div class = "ttdoc" > same as compute_code for several vectors < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8cpp_source.html#l00757" > IndexScalarQuantizer.cpp:757< / a > < / div > < / div >
2017-07-18 17:43:35 +08:00
< div class = "ttc" id = "structfaiss_1_1Index_html_a8e18f641854b2bde83ecff0a2f9a6f4e" > < div class = "ttname" > < a href = "structfaiss_1_1Index.html#a8e18f641854b2bde83ecff0a2f9a6f4e" > faiss::Index::metric_type< / a > < / div > < div class = "ttdeci" > MetricType metric_type< / div > < div class = "ttdoc" > type of metric this index uses for search < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Index_8h_source.html#l00072" > Index.h:72< / a > < / div > < / div >
2018-02-23 23:44:31 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexIVF_html_aa0e8fc5e04cbd8e0dde61f98bc7dd0bc" > < div class = "ttname" > < a href = "structfaiss_1_1IndexIVF.html#aa0e8fc5e04cbd8e0dde61f98bc7dd0bc" > faiss::IndexIVF::invlists< / a > < / div > < div class = "ttdeci" > InvertedLists * invlists< / div > < div class = "ttdoc" > Acess to the actual data. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexIVF_8h_source.html#l00168" > IndexIVF.h:168< / a > < / div > < / div >
2017-07-26 18:11:01 +08:00
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a1201dbd1611fa5c10782ade5d0e4952ea1650389e3efa052ff60177d502328a2c" > faiss::ScalarQuantizer::QT_8bit< / a > < / div > < div class = "ttdoc" > 8 bits per component < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00033" > IndexScalarQuantizer.h:33< / a > < / div > < / div >
2017-07-18 17:43:35 +08:00
< div class = "ttc" id = "structfaiss_1_1Index_html" > < div class = "ttname" > < a href = "structfaiss_1_1Index.html" > faiss::Index< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Index_8h_source.html#l00060" > Index.h:60< / a > < / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexScalarQuantizer_html_a06e6935b75f0b209f65fffa1c9e1477c" > < div class = "ttname" > < a href = "structfaiss_1_1IndexScalarQuantizer.html#a06e6935b75f0b209f65fffa1c9e1477c" > faiss::IndexScalarQuantizer::reconstruct_n< / a > < / div > < div class = "ttdeci" > void reconstruct_n(idx_t i0, idx_t ni, float *recons) const override< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8cpp_source.html#l00891" > IndexScalarQuantizer.cpp:891< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1IndexScalarQuantizer_html_a8fb8680f64465d643d96119da58099f3" > < div class = "ttname" > < a href = "structfaiss_1_1IndexScalarQuantizer.html#a8fb8680f64465d643d96119da58099f3" > faiss::IndexScalarQuantizer::reconstruct< / a > < / div > < div class = "ttdeci" > void reconstruct(idx_t key, float *recons) const override< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8cpp_source.html#l00901" > IndexScalarQuantizer.cpp:901< / a > < / div > < / div >
2017-07-26 18:11:01 +08:00
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a867ad0000e4ccfd40bbb1e01e7882d06aa52f2f14616c61c04baf6323d43588fd" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a867ad0000e4ccfd40bbb1e01e7882d06aa52f2f14616c61c04baf6323d43588fd" > faiss::ScalarQuantizer::RS_minmax< / a > < / div > < div class = "ttdoc" > [min - rs*(max-min), max + rs*(max-min)] < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00047" > IndexScalarQuantizer.h:47< / a > < / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_a30b411b10780a74079bbbfaff678c86f" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#a30b411b10780a74079bbbfaff678c86f" > faiss::ScalarQuantizer::trained< / a > < / div > < div class = "ttdeci" > std::vector< float > trained< / div > < div class = "ttdoc" > trained values (including the range) < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00063" > IndexScalarQuantizer.h:63< / a > < / div > < / div >
2018-02-23 23:44:31 +08:00
< div class = "ttc" id = "structfaiss_1_1InvertedLists_html_a60b12f9efe940b617a8380adceef4032" > < div class = "ttname" > < a href = "structfaiss_1_1InvertedLists.html#a60b12f9efe940b617a8380adceef4032" > faiss::InvertedLists::get_codes< / a > < / div > < div class = "ttdeci" > virtual const uint8_t * get_codes(size_t list_no) const =0< / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1Level1Quantizer_html_a3cf99e2ee92b8558a066f821efab95d5" > < div class = "ttname" > < a href = "structfaiss_1_1Level1Quantizer.html#a3cf99e2ee92b8558a066f821efab95d5" > faiss::Level1Quantizer::quantizer< / a > < / div > < div class = "ttdeci" > Index * quantizer< / div > < div class = "ttdoc" > quantizer that maps vectors to inverted lists < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexIVF_8h_source.html#l00033" > IndexIVF.h:33< / a > < / div > < / div >
2017-07-18 17:43:35 +08:00
< div class = "ttc" id = "structfaiss_1_1Index_html_a6e92732617c4dbe364e7678dd8773a7f" > < div class = "ttname" > < a href = "structfaiss_1_1Index.html#a6e92732617c4dbe364e7678dd8773a7f" > faiss::Index::is_trained< / a > < / div > < div class = "ttdeci" > bool is_trained< / div > < div class = "ttdoc" > set if the Index does not require training, or if training is done already < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Index_8h_source.html#l00069" > Index.h:69< / a > < / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1Index_html_aaae77608bbda70b1098897e9167a82f9" > < div class = "ttname" > < a href = "structfaiss_1_1Index.html#aaae77608bbda70b1098897e9167a82f9" > faiss::Index::compute_residual< / a > < / div > < div class = "ttdeci" > void compute_residual(const float *x, float *residual, idx_t key) const < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Index_8cpp_source.html#l00086" > Index.cpp:86< / a > < / div > < / div >
2018-02-23 23:44:31 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexIVF_html_a7f2dd34f66f8770acba74a0a591fa4a8" > < div class = "ttname" > < a href = "structfaiss_1_1IndexIVF.html#a7f2dd34f66f8770acba74a0a591fa4a8" > faiss::IndexIVF::max_codes< / a > < / div > < div class = "ttdeci" > size_t max_codes< / div > < div class = "ttdoc" > max nb of codes to visit to do a query < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexIVF_8h_source.html#l00174" > IndexIVF.h:174< / a > < / div > < / div >
2018-01-09 22:44:43 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexScalarQuantizer_html_a300647e9cdac9acd160f2c55c610056b" > < div class = "ttname" > < a href = "structfaiss_1_1IndexScalarQuantizer.html#a300647e9cdac9acd160f2c55c610056b" > faiss::IndexScalarQuantizer::train< / a > < / div > < div class = "ttdeci" > void train(idx_t n, const float *x) override< / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8cpp_source.html#l00809" > IndexScalarQuantizer.cpp:809< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1ScalarQuantizer_html_acd88af01ad1d06560cecc30bc38aef49" > < div class = "ttname" > < a href = "structfaiss_1_1ScalarQuantizer.html#acd88af01ad1d06560cecc30bc38aef49" > faiss::ScalarQuantizer::d< / a > < / div > < div class = "ttdeci" > size_t d< / div > < div class = "ttdoc" > dimension of input vectors < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexScalarQuantizer_8h_source.html#l00057" > IndexScalarQuantizer.h:57< / a > < / div > < / div >
2018-02-23 23:44:31 +08:00
< div class = "ttc" id = "structfaiss_1_1IndexIVF_html_a46d1aeddb60643c5b3f096147c3e028f" > < div class = "ttname" > < a href = "structfaiss_1_1IndexIVF.html#a46d1aeddb60643c5b3f096147c3e028f" > faiss::IndexIVF::code_size< / a > < / div > < div class = "ttdeci" > size_t code_size< / div > < div class = "ttdoc" > code size per vector in bytes < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IndexIVF_8h_source.html#l00171" > IndexIVF.h:171< / a > < / div > < / div >
2017-11-22 21:00:42 +08:00
< div class = "ttc" id = "namespacefaiss_html_afd12191c638da74760ff397cf319752c" > < div class = "ttname" > < a href = "namespacefaiss.html#afd12191c638da74760ff397cf319752c" > faiss::MetricType< / a > < / div > < div class = "ttdeci" > MetricType< / div > < div class = "ttdoc" > Some algorithms support both an inner product version and a L2 search version. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Index_8h_source.html#l00043" > Index.h:43< / a > < / div > < / div >
2017-07-18 17:43:35 +08:00
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