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2017-02-23 06:26:44 +08:00
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< div class = "fragment" > < div class = "line" > < a name = "l00001" > < / a > < span class = "lineno" > 1< / span >   < span class = "comment" > /**< / span > < / div >
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< div class = "line" > < a name = "l00002" > < / a > < span class = "lineno" > 2< / span >   < span class = "comment" > * Copyright (c) Facebook, Inc. and its affiliates.< / span > < / div >
< div class = "line" > < a name = "l00003" > < / a > < span class = "lineno" > 3< / span >   < span class = "comment" > *< / span > < / div >
< div class = "line" > < a name = "l00004" > < / a > < span class = "lineno" > 4< / span >   < span class = "comment" > * This source code is licensed under the MIT license found in the< / span > < / div >
< div class = "line" > < a name = "l00005" > < / a > < span class = "lineno" > 5< / span >   < span class = "comment" > * LICENSE file in the root directory of this source tree.< / span > < / div >
< div class = "line" > < a name = "l00006" > < / a > < span class = "lineno" > 6< / span >   < span class = "comment" > */< / span > < / div >
< div class = "line" > < a name = "l00007" > < / a > < span class = "lineno" > 7< / span >   < / div >
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< div class = "line" > < a name = "l00008" > < / a > < span class = "lineno" > 8< / span >   < / div >
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< div class = "line" > < a name = "l00009" > < / a > < span class = "lineno" > 9< / span >   < span class = "preprocessor" > #include " IVFFlatScan.cuh" < / span > < / div >
< div class = "line" > < a name = "l00010" > < / a > < span class = "lineno" > 10< / span >   < span class = "preprocessor" > #include " ../GpuResources.h" < / span > < / div >
< div class = "line" > < a name = "l00011" > < / a > < span class = "lineno" > 11< / span >   < span class = "preprocessor" > #include " IVFUtils.cuh" < / span > < / div >
< div class = "line" > < a name = "l00012" > < / a > < span class = "lineno" > 12< / span >   < span class = "preprocessor" > #include " ../utils/ConversionOperators.cuh" < / span > < / div >
< div class = "line" > < a name = "l00013" > < / a > < span class = "lineno" > 13< / span >   < span class = "preprocessor" > #include " ../utils/DeviceDefs.cuh" < / span > < / div >
< div class = "line" > < a name = "l00014" > < / a > < span class = "lineno" > 14< / span >   < span class = "preprocessor" > #include " ../utils/DeviceUtils.h" < / span > < / div >
< div class = "line" > < a name = "l00015" > < / a > < span class = "lineno" > 15< / span >   < span class = "preprocessor" > #include " ../utils/DeviceTensor.cuh" < / span > < / div >
< div class = "line" > < a name = "l00016" > < / a > < span class = "lineno" > 16< / span >   < span class = "preprocessor" > #include " ../utils/Float16.cuh" < / span > < / div >
< div class = "line" > < a name = "l00017" > < / a > < span class = "lineno" > 17< / span >   < span class = "preprocessor" > #include " ../utils/MathOperators.cuh" < / span > < / div >
< div class = "line" > < a name = "l00018" > < / a > < span class = "lineno" > 18< / span >   < span class = "preprocessor" > #include " ../utils/LoadStoreOperators.cuh" < / span > < / div >
< div class = "line" > < a name = "l00019" > < / a > < span class = "lineno" > 19< / span >   < span class = "preprocessor" > #include " ../utils/PtxUtils.cuh" < / span > < / div >
< div class = "line" > < a name = "l00020" > < / a > < span class = "lineno" > 20< / span >   < span class = "preprocessor" > #include " ../utils/Reductions.cuh" < / span > < / div >
< div class = "line" > < a name = "l00021" > < / a > < span class = "lineno" > 21< / span >   < span class = "preprocessor" > #include " ../utils/StaticUtils.h" < / span > < / div >
< div class = "line" > < a name = "l00022" > < / a > < span class = "lineno" > 22< / span >   < span class = "preprocessor" > #include < thrust/host_vector.h> < / span > < / div >
< div class = "line" > < a name = "l00023" > < / a > < span class = "lineno" > 23< / span >   < / div >
< div class = "line" > < a name = "l00024" > < / a > < span class = "lineno" > 24< / span >   < span class = "keyword" > namespace < / span > faiss { < span class = "keyword" > namespace < / span > gpu {< / 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 = "keyword" > template< / span > < < span class = "keyword" > typename< / span > T> < / div >
< div class = "line" > < a name = "l00027" > < / a > < span class = "lineno" > 27< / span >   < span class = "keyword" > inline< / span > __device__ < span class = "keyword" > typename< / span > Math< T> ::ScalarType l2Distance(T a, T b) {< / div >
< div class = "line" > < a name = "l00028" > < / a > < span class = "lineno" > 28< / span >   a = Math< T> ::sub(a, b);< / div >
< div class = "line" > < a name = "l00029" > < / a > < span class = "lineno" > 29< / span >   a = Math< T> ::mul(a, a);< / div >
< div class = "line" > < a name = "l00030" > < / a > < span class = "lineno" > 30< / span >   < span class = "keywordflow" > return< / span > < a class = "code" href = "structfaiss_1_1gpu_1_1Math.html#a4b17f0b5d014f300e76dde5b24af8014" > Math< T> ::reduceAdd< / a > (a);< / div >
< div class = "line" > < a name = "l00031" > < / a > < span class = "lineno" > 31< / span >   }< / div >
< div class = "line" > < a name = "l00032" > < / a > < span class = "lineno" > 32< / span >   < / div >
< div class = "line" > < a name = "l00033" > < / a > < span class = "lineno" > 33< / span >   < span class = "keyword" > template< / span > < < span class = "keyword" > typename< / span > T> < / div >
< div class = "line" > < a name = "l00034" > < / a > < span class = "lineno" > 34< / span >   < span class = "keyword" > inline< / span > __device__ < span class = "keyword" > typename< / span > Math< T> ::ScalarType ipDistance(T a, T b) {< / div >
< div class = "line" > < a name = "l00035" > < / a > < span class = "lineno" > 35< / span >   < span class = "keywordflow" > return< / span > < a class = "code" href = "structfaiss_1_1gpu_1_1Math.html#a4b17f0b5d014f300e76dde5b24af8014" > Math< T> ::reduceAdd< / a > (Math< T> ::mul(a, b));< / div >
< div class = "line" > < a name = "l00036" > < / a > < span class = "lineno" > 36< / span >   }< / div >
< div class = "line" > < a name = "l00037" > < / a > < span class = "lineno" > 37< / span >   < / div >
< div class = "line" > < a name = "l00038" > < / a > < span class = "lineno" > 38< / span >   < span class = "comment" > // For list scanning, even if the input data is `half`, we perform all< / span > < / div >
< div class = "line" > < a name = "l00039" > < / a > < span class = "lineno" > 39< / span >   < span class = "comment" > // math in float32, because the code is memory b/w bound, and the< / span > < / div >
< div class = "line" > < a name = "l00040" > < / a > < span class = "lineno" > 40< / span >   < span class = "comment" > // added precision for accumulation is useful< / span > < / div >
< div class = "line" > < a name = "l00041" > < / a > < span class = "lineno" > 41< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00042" > < / a > < span class = "lineno" > 42< / span >   < span class = "comment" > /// The class that we use to provide scan specializations< / span > < / div >
< div class = "line" > < a name = "l00043" > < / a > < span class = "lineno" > 43< / span >   < span class = "comment" > < / span > < span class = "keyword" > template< / span > < < span class = "keywordtype" > int< / span > Dims, < span class = "keywordtype" > bool< / span > L2, < span class = "keyword" > typename< / span > T> < / div >
< div class = "line" > < a name = "l00044" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1gpu_1_1IVFFlatScan.html" > 44< / a > < / span >   < span class = "keyword" > struct < / span > < a class = "code" href = "structfaiss_1_1gpu_1_1IVFFlatScan.html" > IVFFlatScan< / a > {< / div >
< div class = "line" > < a name = "l00045" > < / a > < span class = "lineno" > 45< / span >   };< / div >
< div class = "line" > < a name = "l00046" > < / a > < span class = "lineno" > 46< / span >   < / div >
< div class = "line" > < a name = "l00047" > < / a > < span class = "lineno" > 47< / span >   < span class = "comment" > // Fallback implementation: works for any dimension size< / span > < / div >
< div class = "line" > < a name = "l00048" > < / a > < span class = "lineno" > 48< / span >   < span class = "keyword" > template< / span > < < span class = "keywordtype" > bool< / span > L2, < span class = "keyword" > typename< / span > T> < / div >
< div class = "line" > < a name = "l00049" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1gpu_1_1IVFFlatScan_3-1_00_01L2_00_01T_01_4.html" > 49< / a > < / span >   < span class = "keyword" > struct < / span > < a class = "code" href = "structfaiss_1_1gpu_1_1IVFFlatScan.html" > IVFFlatScan< / a > < -1, L2, T> {< / div >
< div class = "line" > < a name = "l00050" > < / a > < span class = "lineno" > 50< / span >   < span class = "keyword" > static< / span > __device__ < span class = "keywordtype" > void< / span > scan(< span class = "keywordtype" > float< / span > * query,< / div >
< div class = "line" > < a name = "l00051" > < / a > < span class = "lineno" > 51< / span >   < span class = "keywordtype" > void< / span > * vecData,< / div >
< div class = "line" > < a name = "l00052" > < / a > < span class = "lineno" > 52< / span >   < span class = "keywordtype" > int< / span > numVecs,< / div >
< div class = "line" > < a name = "l00053" > < / a > < span class = "lineno" > 53< / span >   < span class = "keywordtype" > int< / span > dim,< / div >
< div class = "line" > < a name = "l00054" > < / a > < span class = "lineno" > 54< / span >   < span class = "keywordtype" > float< / span > * distanceOut) {< / div >
< div class = "line" > < a name = "l00055" > < / a > < span class = "lineno" > 55< / span >   < span class = "keyword" > extern< / span > __shared__ < span class = "keywordtype" > float< / span > smem[];< / div >
< div class = "line" > < a name = "l00056" > < / a > < span class = "lineno" > 56< / span >   T* vecs = (T*) vecData;< / div >
< div class = "line" > < a name = "l00057" > < / a > < span class = "lineno" > 57< / span >   < / div >
< div class = "line" > < a name = "l00058" > < / a > < span class = "lineno" > 58< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > vec = 0; vec < numVecs; ++vec) {< / div >
< div class = "line" > < a name = "l00059" > < / a > < span class = "lineno" > 59< / span >   < span class = "comment" > // Reduce in dist< / span > < / div >
< div class = "line" > < a name = "l00060" > < / a > < span class = "lineno" > 60< / span >   < span class = "keywordtype" > float< / span > dist = 0.0f;< / 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 = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > d = threadIdx.x; d < dim; d += blockDim.x) {< / div >
< div class = "line" > < a name = "l00063" > < / a > < span class = "lineno" > 63< / span >   < span class = "keywordtype" > float< / span > vecVal = < a class = "code" href = "structfaiss_1_1gpu_1_1ConvertTo.html" > ConvertTo< float> ::to< / a > (vecs[vec * dim + d]);< / div >
< div class = "line" > < a name = "l00064" > < / a > < span class = "lineno" > 64< / span >   < span class = "keywordtype" > float< / span > queryVal = query[d];< / div >
< div class = "line" > < a name = "l00065" > < / a > < span class = "lineno" > 65< / span >   < span class = "keywordtype" > float< / span > curDist;< / div >
< div class = "line" > < a name = "l00066" > < / a > < span class = "lineno" > 66< / span >   < / div >
< div class = "line" > < a name = "l00067" > < / a > < span class = "lineno" > 67< / span >   < span class = "keywordflow" > if< / span > (L2) {< / div >
< div class = "line" > < a name = "l00068" > < / a > < span class = "lineno" > 68< / span >   curDist = l2Distance(queryVal, vecVal);< / div >
< div class = "line" > < a name = "l00069" > < / a > < span class = "lineno" > 69< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00070" > < / a > < span class = "lineno" > 70< / span >   curDist = ipDistance(queryVal, vecVal);< / div >
< div class = "line" > < a name = "l00071" > < / a > < span class = "lineno" > 71< / span >   }< / div >
< div class = "line" > < a name = "l00072" > < / a > < span class = "lineno" > 72< / span >   < / div >
< div class = "line" > < a name = "l00073" > < / a > < span class = "lineno" > 73< / span >   dist += curDist;< / div >
< div class = "line" > < a name = "l00074" > < / a > < span class = "lineno" > 74< / span >   }< / div >
< div class = "line" > < a name = "l00075" > < / a > < span class = "lineno" > 75< / span >   < / div >
< div class = "line" > < a name = "l00076" > < / a > < span class = "lineno" > 76< / span >   < span class = "comment" > // Reduce distance within block< / span > < / div >
< div class = "line" > < a name = "l00077" > < / a > < span class = "lineno" > 77< / span >   dist = blockReduceAllSum< float, false, true> (dist, smem);< / div >
< div class = "line" > < a name = "l00078" > < / a > < span class = "lineno" > 78< / span >   < / div >
< div class = "line" > < a name = "l00079" > < / a > < span class = "lineno" > 79< / span >   < span class = "keywordflow" > if< / span > (threadIdx.x == 0) {< / div >
< div class = "line" > < a name = "l00080" > < / a > < span class = "lineno" > 80< / span >   distanceOut[vec] = dist;< / div >
< div class = "line" > < a name = "l00081" > < / a > < span class = "lineno" > 81< / span >   }< / div >
< div class = "line" > < a name = "l00082" > < / a > < span class = "lineno" > 82< / span >   }< / div >
< div class = "line" > < a name = "l00083" > < / a > < span class = "lineno" > 83< / span >   }< / div >
< div class = "line" > < a name = "l00084" > < / a > < span class = "lineno" > 84< / span >   };< / div >
< div class = "line" > < a name = "l00085" > < / a > < span class = "lineno" > 85< / span >   < / div >
< div class = "line" > < a name = "l00086" > < / a > < span class = "lineno" > 86< / span >   < span class = "comment" > // implementation: works for # dims == blockDim.x< / span > < / div >
< div class = "line" > < a name = "l00087" > < / a > < span class = "lineno" > 87< / span >   < span class = "keyword" > template< / span > < < span class = "keywordtype" > bool< / span > L2, < span class = "keyword" > typename< / span > T> < / div >
< div class = "line" > < a name = "l00088" > < / a > < span class = "lineno" > < a class = "line" href = "structfaiss_1_1gpu_1_1IVFFlatScan_3_010_00_01L2_00_01T_01_4.html" > 88< / a > < / span >   < span class = "keyword" > struct < / span > < a class = "code" href = "structfaiss_1_1gpu_1_1IVFFlatScan.html" > IVFFlatScan< / a > < 0, L2, T> {< / div >
< div class = "line" > < a name = "l00089" > < / a > < span class = "lineno" > 89< / span >   < span class = "keyword" > static< / span > __device__ < span class = "keywordtype" > void< / span > scan(< span class = "keywordtype" > float< / span > * query,< / div >
< div class = "line" > < a name = "l00090" > < / a > < span class = "lineno" > 90< / span >   < span class = "keywordtype" > void< / span > * vecData,< / div >
< div class = "line" > < a name = "l00091" > < / a > < span class = "lineno" > 91< / span >   < span class = "keywordtype" > int< / span > numVecs,< / div >
< div class = "line" > < a name = "l00092" > < / a > < span class = "lineno" > 92< / span >   < span class = "keywordtype" > int< / span > dim,< / div >
< div class = "line" > < a name = "l00093" > < / a > < span class = "lineno" > 93< / span >   < span class = "keywordtype" > float< / span > * distanceOut) {< / div >
< div class = "line" > < a name = "l00094" > < / a > < span class = "lineno" > 94< / span >   < span class = "keyword" > extern< / span > __shared__ < span class = "keywordtype" > float< / span > smem[];< / div >
< div class = "line" > < a name = "l00095" > < / a > < span class = "lineno" > 95< / span >   T* vecs = (T*) vecData;< / 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 >   < span class = "keywordtype" > float< / span > queryVal = query[threadIdx.x];< / 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 >   constexpr < span class = "keywordtype" > int< / span > kUnroll = 4;< / div >
< div class = "line" > < a name = "l00100" > < / a > < span class = "lineno" > 100< / span >   < span class = "keywordtype" > int< / span > limit = utils::roundDown(numVecs, kUnroll);< / div >
< div class = "line" > < a name = "l00101" > < / a > < span class = "lineno" > 101< / span >   < / div >
< div class = "line" > < a name = "l00102" > < / a > < span class = "lineno" > 102< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = 0; i < limit; i += kUnroll) {< / div >
< div class = "line" > < a name = "l00103" > < / a > < span class = "lineno" > 103< / span >   < span class = "keywordtype" > float< / span > vecVal[kUnroll];< / div >
< div class = "line" > < a name = "l00104" > < / a > < span class = "lineno" > 104< / span >   < / div >
< div class = "line" > < a name = "l00105" > < / a > < span class = "lineno" > 105< / span >   < span class = "preprocessor" > #pragma unroll< / span > < / div >
< div class = "line" > < a name = "l00106" > < / a > < span class = "lineno" > 106< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > j = 0; j < kUnroll; ++j) {< / div >
< div class = "line" > < a name = "l00107" > < / a > < span class = "lineno" > 107< / span >   vecVal[j] = < a class = "code" href = "structfaiss_1_1gpu_1_1ConvertTo.html" > ConvertTo< float> ::to< / a > (vecs[(i + j) * dim + threadIdx.x]);< / div >
< div class = "line" > < a name = "l00108" > < / a > < span class = "lineno" > 108< / span >   }< / div >
< div class = "line" > < a name = "l00109" > < / a > < span class = "lineno" > 109< / span >   < / div >
< div class = "line" > < a name = "l00110" > < / a > < span class = "lineno" > 110< / span >   < span class = "preprocessor" > #pragma unroll< / span > < / div >
< div class = "line" > < a name = "l00111" > < / a > < span class = "lineno" > 111< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > j = 0; j < kUnroll; ++j) {< / div >
< div class = "line" > < a name = "l00112" > < / a > < span class = "lineno" > 112< / span >   < span class = "keywordflow" > if< / span > (L2) {< / div >
< div class = "line" > < a name = "l00113" > < / a > < span class = "lineno" > 113< / span >   vecVal[j] = l2Distance(queryVal, vecVal[j]);< / div >
< div class = "line" > < a name = "l00114" > < / a > < span class = "lineno" > 114< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00115" > < / a > < span class = "lineno" > 115< / span >   vecVal[j] = ipDistance(queryVal, vecVal[j]);< / div >
< div class = "line" > < a name = "l00116" > < / a > < span class = "lineno" > 116< / span >   }< / div >
< div class = "line" > < a name = "l00117" > < / a > < span class = "lineno" > 117< / span >   }< / div >
< div class = "line" > < a name = "l00118" > < / a > < span class = "lineno" > 118< / span >   < / div >
< div class = "line" > < a name = "l00119" > < / a > < span class = "lineno" > 119< / span >   blockReduceAllSum< kUnroll, float, false, true> (vecVal, smem);< / div >
< div class = "line" > < a name = "l00120" > < / a > < span class = "lineno" > 120< / span >   < / div >
< div class = "line" > < a name = "l00121" > < / a > < span class = "lineno" > 121< / span >   < span class = "keywordflow" > if< / span > (threadIdx.x == 0) {< / div >
< div class = "line" > < a name = "l00122" > < / a > < span class = "lineno" > 122< / span >   < span class = "preprocessor" > #pragma unroll< / span > < / div >
< div class = "line" > < a name = "l00123" > < / a > < span class = "lineno" > 123< / span >   < span class = "preprocessor" > < / span > < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > j = 0; j < kUnroll; ++j) {< / div >
< div class = "line" > < a name = "l00124" > < / a > < span class = "lineno" > 124< / span >   distanceOut[i + j] = vecVal[j];< / div >
< div class = "line" > < a name = "l00125" > < / a > < span class = "lineno" > 125< / span >   }< / div >
< div class = "line" > < a name = "l00126" > < / a > < span class = "lineno" > 126< / span >   }< / div >
< div class = "line" > < a name = "l00127" > < / a > < span class = "lineno" > 127< / span >   }< / div >
< div class = "line" > < a name = "l00128" > < / a > < span class = "lineno" > 128< / span >   < / div >
< div class = "line" > < a name = "l00129" > < / a > < span class = "lineno" > 129< / span >   < span class = "comment" > // Handle remainder< / span > < / div >
< div class = "line" > < a name = "l00130" > < / a > < span class = "lineno" > 130< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > i = limit; i < numVecs; ++i) {< / div >
< div class = "line" > < a name = "l00131" > < / a > < span class = "lineno" > 131< / span >   < span class = "keywordtype" > float< / span > vecVal = < a class = "code" href = "structfaiss_1_1gpu_1_1ConvertTo.html" > ConvertTo< float> ::to< / a > (vecs[i * dim + threadIdx.x]);< / div >
< div class = "line" > < a name = "l00132" > < / a > < span class = "lineno" > 132< / span >   < / div >
< div class = "line" > < a name = "l00133" > < / a > < span class = "lineno" > 133< / span >   < span class = "keywordflow" > if< / span > (L2) {< / div >
< div class = "line" > < a name = "l00134" > < / a > < span class = "lineno" > 134< / span >   vecVal = l2Distance(queryVal, vecVal);< / div >
< div class = "line" > < a name = "l00135" > < / a > < span class = "lineno" > 135< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00136" > < / a > < span class = "lineno" > 136< / span >   vecVal = ipDistance(queryVal, vecVal);< / div >
< div class = "line" > < a name = "l00137" > < / a > < span class = "lineno" > 137< / span >   }< / div >
< div class = "line" > < a name = "l00138" > < / a > < span class = "lineno" > 138< / span >   < / div >
< div class = "line" > < a name = "l00139" > < / a > < span class = "lineno" > 139< / span >   vecVal = blockReduceAllSum< float, false, true> (vecVal, smem);< / div >
< div class = "line" > < a name = "l00140" > < / a > < span class = "lineno" > 140< / span >   < / div >
< div class = "line" > < a name = "l00141" > < / a > < span class = "lineno" > 141< / span >   < span class = "keywordflow" > if< / span > (threadIdx.x == 0) {< / div >
< div class = "line" > < a name = "l00142" > < / a > < span class = "lineno" > 142< / span >   distanceOut[i] = vecVal;< / div >
< div class = "line" > < a name = "l00143" > < / a > < span class = "lineno" > 143< / span >   }< / div >
< div class = "line" > < a name = "l00144" > < / a > < span class = "lineno" > 144< / span >   }< / div >
< div class = "line" > < a name = "l00145" > < / a > < span class = "lineno" > 145< / span >   }< / div >
< div class = "line" > < a name = "l00146" > < / a > < span class = "lineno" > 146< / span >   };< / div >
< div class = "line" > < a name = "l00147" > < / a > < span class = "lineno" > 147< / span >   < / div >
< div class = "line" > < a name = "l00148" > < / a > < span class = "lineno" > 148< / span >   < span class = "keyword" > template< / span > < < span class = "keywordtype" > int< / span > Dims, < span class = "keywordtype" > bool< / span > L2, < span class = "keyword" > typename< / span > T> < / div >
< div class = "line" > < a name = "l00149" > < / a > < span class = "lineno" > 149< / span >   __global__ < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00150" > < / a > < span class = "lineno" > 150< / span >   ivfFlatScan(< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< float, 2, true> < / a > queries,< / div >
< div class = "line" > < a name = "l00151" > < / a > < span class = "lineno" > 151< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< int, 2, true> < / a > listIds,< / div >
< div class = "line" > < a name = "l00152" > < / a > < span class = "lineno" > 152< / span >   < span class = "keywordtype" > void< / span > ** allListData,< / div >
< div class = "line" > < a name = "l00153" > < / a > < span class = "lineno" > 153< / span >   < span class = "keywordtype" > int< / span > * listLengths,< / div >
< div class = "line" > < a name = "l00154" > < / a > < span class = "lineno" > 154< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< int, 2, true> < / a > prefixSumOffsets,< / div >
< div class = "line" > < a name = "l00155" > < / a > < span class = "lineno" > 155< / span >   < a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html" > Tensor< float, 1, true> < / a > distance) {< / div >
< div class = "line" > < a name = "l00156" > < / a > < span class = "lineno" > 156< / span >   < span class = "keyword" > auto< / span > queryId = blockIdx.y;< / div >
< div class = "line" > < a name = "l00157" > < / a > < span class = "lineno" > 157< / span >   < span class = "keyword" > auto< / span > probeId = blockIdx.x;< / div >
< div class = "line" > < a name = "l00158" > < / a > < span class = "lineno" > 158< / span >   < / div >
< div class = "line" > < a name = "l00159" > < / a > < span class = "lineno" > 159< / span >   < span class = "comment" > // This is where we start writing out data< / span > < / div >
< div class = "line" > < a name = "l00160" > < / a > < span class = "lineno" > 160< / span >   < span class = "comment" > // We ensure that before the array (at offset -1), there is a 0 value< / span > < / div >
< div class = "line" > < a name = "l00161" > < / a > < span class = "lineno" > 161< / span >   < span class = "keywordtype" > int< / span > outBase = *(prefixSumOffsets[queryId][probeId].< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a50411ce4d0fa32ef715e3321b6e33212" > data< / a > () - 1);< / 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 >   < span class = "keyword" > auto< / span > listId = listIds[queryId][probeId];< / div >
< div class = "line" > < a name = "l00164" > < / a > < span class = "lineno" > 164< / span >   < span class = "comment" > // Safety guard in case NaNs in input cause no list ID to be generated< / span > < / div >
< div class = "line" > < a name = "l00165" > < / a > < span class = "lineno" > 165< / span >   < span class = "keywordflow" > if< / span > (listId == -1) {< / div >
< div class = "line" > < a name = "l00166" > < / a > < span class = "lineno" > 166< / span >   < span class = "keywordflow" > return< / span > ;< / div >
< div class = "line" > < a name = "l00167" > < / a > < span class = "lineno" > 167< / span >   }< / 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 >   < span class = "keyword" > auto< / span > query = queries[queryId].< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a50411ce4d0fa32ef715e3321b6e33212" > data< / a > ();< / div >
< div class = "line" > < a name = "l00170" > < / a > < span class = "lineno" > 170< / span >   < span class = "keyword" > auto< / span > vecs = allListData[listId];< / div >
< div class = "line" > < a name = "l00171" > < / a > < span class = "lineno" > 171< / span >   < span class = "keyword" > auto< / span > numVecs = listLengths[listId];< / div >
< div class = "line" > < a name = "l00172" > < / a > < span class = "lineno" > 172< / span >   < span class = "keyword" > auto< / span > dim = queries.< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a6699c311648457f257afa340c61f417c" > getSize< / a > (1);< / div >
< div class = "line" > < a name = "l00173" > < / a > < span class = "lineno" > 173< / span >   < span class = "keyword" > auto< / span > distanceOut = distance[outBase].< a class = "code" href = "classfaiss_1_1gpu_1_1Tensor.html#a50411ce4d0fa32ef715e3321b6e33212" > data< / a > ();< / div >
< div class = "line" > < a name = "l00174" > < / a > < span class = "lineno" > 174< / span >   < / div >
< div class = "line" > < a name = "l00175" > < / a > < span class = "lineno" > 175< / span >   IVFFlatScan< Dims, L2, T> ::scan(query, vecs, numVecs, dim, distanceOut);< / 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 >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00179" > < / a > < span class = "lineno" > 179< / span >   runIVFFlatScanTile(Tensor< float, 2, true> & queries,< / div >
< div class = "line" > < a name = "l00180" > < / a > < span class = "lineno" > 180< / span >   Tensor< int, 2, true> & listIds,< / div >
< div class = "line" > < a name = "l00181" > < / a > < span class = "lineno" > 181< / span >   thrust::device_vector< void*> & listData,< / div >
< div class = "line" > < a name = "l00182" > < / a > < span class = "lineno" > 182< / span >   thrust::device_vector< void*> & listIndices,< / div >
< div class = "line" > < a name = "l00183" > < / a > < span class = "lineno" > 183< / span >   IndicesOptions indicesOptions,< / div >
< div class = "line" > < a name = "l00184" > < / a > < span class = "lineno" > 184< / span >   thrust::device_vector< int> & listLengths,< / div >
< div class = "line" > < a name = "l00185" > < / a > < span class = "lineno" > 185< / span >   Tensor< char, 1, true> & thrustMem,< / div >
< div class = "line" > < a name = "l00186" > < / a > < span class = "lineno" > 186< / span >   Tensor< int, 2, true> & prefixSumOffsets,< / div >
< div class = "line" > < a name = "l00187" > < / a > < span class = "lineno" > 187< / span >   Tensor< float, 1, true> & allDistances,< / div >
< div class = "line" > < a name = "l00188" > < / a > < span class = "lineno" > 188< / span >   Tensor< float, 3, true> & heapDistances,< / div >
< div class = "line" > < a name = "l00189" > < / a > < span class = "lineno" > 189< / span >   Tensor< int, 3, true> & heapIndices,< / div >
< div class = "line" > < a name = "l00190" > < / a > < span class = "lineno" > 190< / span >   < span class = "keywordtype" > int< / span > k,< / div >
< div class = "line" > < a name = "l00191" > < / a > < span class = "lineno" > 191< / span >   < span class = "keywordtype" > bool< / span > l2Distance,< / div >
< div class = "line" > < a name = "l00192" > < / a > < span class = "lineno" > 192< / span >   < span class = "keywordtype" > bool< / span > useFloat16,< / div >
< div class = "line" > < a name = "l00193" > < / a > < span class = "lineno" > 193< / span >   Tensor< float, 2, true> & outDistances,< / div >
< div class = "line" > < a name = "l00194" > < / a > < span class = "lineno" > 194< / span >   Tensor< long, 2, true> & outIndices,< / div >
< div class = "line" > < a name = "l00195" > < / a > < span class = "lineno" > 195< / span >   cudaStream_t stream) {< / div >
< div class = "line" > < a name = "l00196" > < / a > < span class = "lineno" > 196< / span >   < span class = "comment" > // Calculate offset lengths, so we know where to write out< / span > < / div >
< div class = "line" > < a name = "l00197" > < / a > < span class = "lineno" > 197< / span >   < span class = "comment" > // intermediate results< / span > < / div >
< div class = "line" > < a name = "l00198" > < / a > < span class = "lineno" > 198< / span >   runCalcListOffsets(listIds, listLengths, prefixSumOffsets, thrustMem, stream);< / div >
< div class = "line" > < a name = "l00199" > < / a > < span class = "lineno" > 199< / span >   < / div >
< div class = "line" > < a name = "l00200" > < / a > < span class = "lineno" > 200< / span >   < span class = "comment" > // Calculate distances for vectors within our chunk of lists< / span > < / div >
< div class = "line" > < a name = "l00201" > < / a > < span class = "lineno" > 201< / span >   constexpr < span class = "keywordtype" > int< / span > kMaxThreadsIVF = 512;< / div >
< div class = "line" > < a name = "l00202" > < / a > < span class = "lineno" > 202< / span >   < / div >
< div class = "line" > < a name = "l00203" > < / a > < span class = "lineno" > 203< / span >   < span class = "comment" > // FIXME: if `half` and # dims is multiple of 2, halve the< / span > < / div >
< div class = "line" > < a name = "l00204" > < / a > < span class = "lineno" > 204< / span >   < span class = "comment" > // threadblock size< / span > < / 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 >   < span class = "keywordtype" > int< / span > dim = queries.getSize(1);< / div >
< div class = "line" > < a name = "l00207" > < / a > < span class = "lineno" > 207< / span >   < span class = "keywordtype" > int< / span > numThreads = std::min(dim, kMaxThreadsIVF);< / 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 = "keyword" > auto< / span > grid = dim3(listIds.getSize(1),< / div >
< div class = "line" > < a name = "l00210" > < / a > < span class = "lineno" > 210< / span >   listIds.getSize(0));< / div >
< div class = "line" > < a name = "l00211" > < / a > < span class = "lineno" > 211< / span >   < span class = "keyword" > auto< / span > block = dim3(numThreads);< / div >
< div class = "line" > < a name = "l00212" > < / a > < span class = "lineno" > 212< / span >   < span class = "comment" > // All exact dim kernels are unrolled by 4, hence the `4`< / span > < / div >
< div class = "line" > < a name = "l00213" > < / a > < span class = "lineno" > 213< / span >   < span class = "keyword" > auto< / span > smem = < span class = "keyword" > sizeof< / span > (float) * utils::divUp(numThreads, kWarpSize) * 4;< / div >
< div class = "line" > < a name = "l00214" > < / a > < span class = "lineno" > 214< / span >   < / div >
< div class = "line" > < a name = "l00215" > < / a > < span class = "lineno" > 215< / span >   < span class = "preprocessor" > #define RUN_IVF_FLAT(DIMS, L2, T) \< / span > < / div >
< div class = "line" > < a name = "l00216" > < / a > < span class = "lineno" > 216< / span >   < span class = "preprocessor" > do { \< / span > < / div >
< div class = "line" > < a name = "l00217" > < / a > < span class = "lineno" > 217< / span >   < span class = "preprocessor" > ivfFlatScan< DIMS, L2, T> \< / span > < / div >
< div class = "line" > < a name = "l00218" > < / a > < span class = "lineno" > 218< / span >   < span class = "preprocessor" > < < < grid, block, smem, stream> > > ( \< / span > < / div >
< div class = "line" > < a name = "l00219" > < / a > < span class = "lineno" > 219< / span >   < span class = "preprocessor" > queries, \< / span > < / div >
< div class = "line" > < a name = "l00220" > < / a > < span class = "lineno" > 220< / span >   < span class = "preprocessor" > listIds, \< / span > < / div >
< div class = "line" > < a name = "l00221" > < / a > < span class = "lineno" > 221< / span >   < span class = "preprocessor" > listData.data().get(), \< / span > < / div >
< div class = "line" > < a name = "l00222" > < / a > < span class = "lineno" > 222< / span >   < span class = "preprocessor" > listLengths.data().get(), \< / span > < / div >
< div class = "line" > < a name = "l00223" > < / a > < span class = "lineno" > 223< / span >   < span class = "preprocessor" > prefixSumOffsets, \< / span > < / div >
< div class = "line" > < a name = "l00224" > < / a > < span class = "lineno" > 224< / span >   < span class = "preprocessor" > allDistances); \< / span > < / div >
< div class = "line" > < a name = "l00225" > < / a > < span class = "lineno" > 225< / span >   < span class = "preprocessor" > } while (0)< / span > < / div >
< div class = "line" > < a name = "l00226" > < / a > < span class = "lineno" > 226< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00227" > < / a > < span class = "lineno" > 227< / span >   < span class = "preprocessor" > #ifdef FAISS_USE_FLOAT16< / span > < / div >
< div class = "line" > < a name = "l00228" > < / a > < span class = "lineno" > 228< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00229" > < / a > < span class = "lineno" > 229< / span >   < span class = "preprocessor" > #define HANDLE_DIM_CASE(DIMS) \< / span > < / div >
< div class = "line" > < a name = "l00230" > < / a > < span class = "lineno" > 230< / span >   < span class = "preprocessor" > do { \< / span > < / div >
< div class = "line" > < a name = "l00231" > < / a > < span class = "lineno" > 231< / span >   < span class = "preprocessor" > if (l2Distance) { \< / span > < / div >
< div class = "line" > < a name = "l00232" > < / a > < span class = "lineno" > 232< / span >   < span class = "preprocessor" > if (useFloat16) { \< / span > < / div >
< div class = "line" > < a name = "l00233" > < / a > < span class = "lineno" > 233< / span >   < span class = "preprocessor" > RUN_IVF_FLAT(DIMS, true, half); \< / span > < / div >
< div class = "line" > < a name = "l00234" > < / a > < span class = "lineno" > 234< / span >   < span class = "preprocessor" > } else { \< / span > < / div >
< div class = "line" > < a name = "l00235" > < / a > < span class = "lineno" > 235< / span >   < span class = "preprocessor" > RUN_IVF_FLAT(DIMS, true, float); \< / span > < / div >
< div class = "line" > < a name = "l00236" > < / a > < span class = "lineno" > 236< / span >   < span class = "preprocessor" > } \< / span > < / div >
< div class = "line" > < a name = "l00237" > < / a > < span class = "lineno" > 237< / span >   < span class = "preprocessor" > } else { \< / span > < / div >
< div class = "line" > < a name = "l00238" > < / a > < span class = "lineno" > 238< / span >   < span class = "preprocessor" > if (useFloat16) { \< / span > < / div >
< div class = "line" > < a name = "l00239" > < / a > < span class = "lineno" > 239< / span >   < span class = "preprocessor" > RUN_IVF_FLAT(DIMS, false, half); \< / span > < / div >
< div class = "line" > < a name = "l00240" > < / a > < span class = "lineno" > 240< / span >   < span class = "preprocessor" > } else { \< / span > < / div >
< div class = "line" > < a name = "l00241" > < / a > < span class = "lineno" > 241< / span >   < span class = "preprocessor" > RUN_IVF_FLAT(DIMS, false, float); \< / span > < / div >
< div class = "line" > < a name = "l00242" > < / a > < span class = "lineno" > 242< / span >   < span class = "preprocessor" > } \< / span > < / div >
< div class = "line" > < a name = "l00243" > < / a > < span class = "lineno" > 243< / span >   < span class = "preprocessor" > } \< / span > < / div >
< div class = "line" > < a name = "l00244" > < / a > < span class = "lineno" > 244< / span >   < span class = "preprocessor" > } while (0)< / span > < / div >
< div class = "line" > < a name = "l00245" > < / a > < span class = "lineno" > 245< / span >   < span class = "preprocessor" > < / span > < span class = "preprocessor" > #else< / span > < / div >
< div class = "line" > < a name = "l00246" > < / a > < span class = "lineno" > 246< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00247" > < / a > < span class = "lineno" > 247< / span >   < span class = "preprocessor" > #define HANDLE_DIM_CASE(DIMS) \< / span > < / div >
< div class = "line" > < a name = "l00248" > < / a > < span class = "lineno" > 248< / span >   < span class = "preprocessor" > do { \< / span > < / div >
< div class = "line" > < a name = "l00249" > < / a > < span class = "lineno" > 249< / span >   < span class = "preprocessor" > if (l2Distance) { \< / span > < / div >
< div class = "line" > < a name = "l00250" > < / a > < span class = "lineno" > 250< / span >   < span class = "preprocessor" > if (useFloat16) { \< / span > < / div >
< div class = "line" > < a name = "l00251" > < / a > < span class = "lineno" > 251< / span >   < span class = "preprocessor" > FAISS_ASSERT(false); \< / span > < / div >
< div class = "line" > < a name = "l00252" > < / a > < span class = "lineno" > 252< / span >   < span class = "preprocessor" > } else { \< / span > < / div >
< div class = "line" > < a name = "l00253" > < / a > < span class = "lineno" > 253< / span >   < span class = "preprocessor" > RUN_IVF_FLAT(DIMS, true, float); \< / 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 >   < span class = "preprocessor" > } else { \< / span > < / div >
< div class = "line" > < a name = "l00256" > < / a > < span class = "lineno" > 256< / span >   < span class = "preprocessor" > if (useFloat16) { \< / span > < / div >
< div class = "line" > < a name = "l00257" > < / a > < span class = "lineno" > 257< / span >   < span class = "preprocessor" > FAISS_ASSERT(false); \< / span > < / div >
< div class = "line" > < a name = "l00258" > < / a > < span class = "lineno" > 258< / span >   < span class = "preprocessor" > } else { \< / span > < / div >
< div class = "line" > < a name = "l00259" > < / a > < span class = "lineno" > 259< / span >   < span class = "preprocessor" > RUN_IVF_FLAT(DIMS, false, float); \< / span > < / div >
< div class = "line" > < a name = "l00260" > < / a > < span class = "lineno" > 260< / span >   < span class = "preprocessor" > } \< / span > < / div >
< div class = "line" > < a name = "l00261" > < / a > < span class = "lineno" > 261< / span >   < span class = "preprocessor" > } \< / span > < / div >
< div class = "line" > < a name = "l00262" > < / a > < span class = "lineno" > 262< / span >   < span class = "preprocessor" > } while (0)< / span > < / div >
< div class = "line" > < a name = "l00263" > < / a > < span class = "lineno" > 263< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00264" > < / a > < span class = "lineno" > 264< / span >   < span class = "preprocessor" > #endif // FAISS_USE_FLOAT16< / span > < / div >
< div class = "line" > < a name = "l00265" > < / a > < span class = "lineno" > 265< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00266" > < / a > < span class = "lineno" > 266< / span >   < span class = "keywordflow" > if< / span > (dim < = kMaxThreadsIVF) {< / div >
< div class = "line" > < a name = "l00267" > < / a > < span class = "lineno" > 267< / span >   HANDLE_DIM_CASE(0);< / div >
< div class = "line" > < a name = "l00268" > < / a > < span class = "lineno" > 268< / span >   } < span class = "keywordflow" > else< / span > {< / div >
< div class = "line" > < a name = "l00269" > < / a > < span class = "lineno" > 269< / span >   HANDLE_DIM_CASE(-1);< / 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 >   < / div >
< div class = "line" > < a name = "l00272" > < / a > < span class = "lineno" > 272< / span >   CUDA_TEST_ERROR();< / div >
< div class = "line" > < a name = "l00273" > < / a > < span class = "lineno" > 273< / span >   < / div >
< div class = "line" > < a name = "l00274" > < / a > < span class = "lineno" > 274< / span >   < span class = "preprocessor" > #undef HANDLE_DIM_CASE< / span > < / div >
< div class = "line" > < a name = "l00275" > < / a > < span class = "lineno" > 275< / span >   < span class = "preprocessor" > < / span > < span class = "preprocessor" > #undef RUN_IVF_FLAT< / span > < / div >
< div class = "line" > < a name = "l00276" > < / a > < span class = "lineno" > 276< / span >   < span class = "preprocessor" > < / span > < / div >
< div class = "line" > < a name = "l00277" > < / a > < span class = "lineno" > 277< / span >   < span class = "comment" > // k-select the output in chunks, to increase parallelism< / span > < / div >
< div class = "line" > < a name = "l00278" > < / a > < span class = "lineno" > 278< / span >   runPass1SelectLists(prefixSumOffsets,< / div >
< div class = "line" > < a name = "l00279" > < / a > < span class = "lineno" > 279< / span >   allDistances,< / div >
< div class = "line" > < a name = "l00280" > < / a > < span class = "lineno" > 280< / span >   listIds.getSize(1),< / div >
< div class = "line" > < a name = "l00281" > < / a > < span class = "lineno" > 281< / span >   k,< / div >
< div class = "line" > < a name = "l00282" > < / a > < span class = "lineno" > 282< / span >   !l2Distance, < span class = "comment" > // L2 distance chooses smallest< / span > < / div >
< div class = "line" > < a name = "l00283" > < / a > < span class = "lineno" > 283< / span >   heapDistances,< / div >
< div class = "line" > < a name = "l00284" > < / a > < span class = "lineno" > 284< / span >   heapIndices,< / div >
< div class = "line" > < a name = "l00285" > < / a > < span class = "lineno" > 285< / span >   stream);< / div >
< div class = "line" > < a name = "l00286" > < / a > < span class = "lineno" > 286< / span >   < / div >
< div class = "line" > < a name = "l00287" > < / a > < span class = "lineno" > 287< / span >   < span class = "comment" > // k-select final output< / span > < / div >
< div class = "line" > < a name = "l00288" > < / a > < span class = "lineno" > 288< / span >   < span class = "keyword" > auto< / span > flatHeapDistances = heapDistances.downcastInner< 2> ();< / div >
< div class = "line" > < a name = "l00289" > < / a > < span class = "lineno" > 289< / span >   < span class = "keyword" > auto< / span > flatHeapIndices = heapIndices.downcastInner< 2> ();< / div >
< div class = "line" > < a name = "l00290" > < / a > < span class = "lineno" > 290< / span >   < / div >
< div class = "line" > < a name = "l00291" > < / a > < span class = "lineno" > 291< / span >   runPass2SelectLists(flatHeapDistances,< / div >
< div class = "line" > < a name = "l00292" > < / a > < span class = "lineno" > 292< / span >   flatHeapIndices,< / div >
< div class = "line" > < a name = "l00293" > < / a > < span class = "lineno" > 293< / span >   listIndices,< / div >
< div class = "line" > < a name = "l00294" > < / a > < span class = "lineno" > 294< / span >   indicesOptions,< / div >
< div class = "line" > < a name = "l00295" > < / a > < span class = "lineno" > 295< / span >   prefixSumOffsets,< / div >
< div class = "line" > < a name = "l00296" > < / a > < span class = "lineno" > 296< / span >   listIds,< / div >
< div class = "line" > < a name = "l00297" > < / a > < span class = "lineno" > 297< / span >   k,< / div >
< div class = "line" > < a name = "l00298" > < / a > < span class = "lineno" > 298< / span >   !l2Distance, < span class = "comment" > // L2 distance chooses smallest< / span > < / div >
< div class = "line" > < a name = "l00299" > < / a > < span class = "lineno" > 299< / span >   outDistances,< / div >
< div class = "line" > < a name = "l00300" > < / a > < span class = "lineno" > 300< / span >   outIndices,< / div >
< div class = "line" > < a name = "l00301" > < / a > < span class = "lineno" > 301< / span >   stream);< / div >
< div class = "line" > < a name = "l00302" > < / a > < span class = "lineno" > 302< / span >   }< / div >
< div class = "line" > < a name = "l00303" > < / a > < span class = "lineno" > 303< / span >   < / div >
< div class = "line" > < a name = "l00304" > < / a > < span class = "lineno" > 304< / span >   < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00305" > < / a > < span class = "lineno" > 305< / span >   runIVFFlatScan(Tensor< float, 2, true> & queries,< / div >
< div class = "line" > < a name = "l00306" > < / a > < span class = "lineno" > 306< / span >   Tensor< int, 2, true> & listIds,< / div >
< div class = "line" > < a name = "l00307" > < / a > < span class = "lineno" > 307< / span >   thrust::device_vector< void*> & listData,< / div >
< div class = "line" > < a name = "l00308" > < / a > < span class = "lineno" > 308< / span >   thrust::device_vector< void*> & listIndices,< / div >
< div class = "line" > < a name = "l00309" > < / a > < span class = "lineno" > 309< / span >   IndicesOptions indicesOptions,< / div >
< div class = "line" > < a name = "l00310" > < / a > < span class = "lineno" > 310< / span >   thrust::device_vector< int> & listLengths,< / div >
< div class = "line" > < a name = "l00311" > < / a > < span class = "lineno" > 311< / span >   < span class = "keywordtype" > int< / span > maxListLength,< / div >
< div class = "line" > < a name = "l00312" > < / a > < span class = "lineno" > 312< / span >   < span class = "keywordtype" > int< / span > k,< / div >
< div class = "line" > < a name = "l00313" > < / a > < span class = "lineno" > 313< / span >   < span class = "keywordtype" > bool< / span > l2Distance,< / div >
< div class = "line" > < a name = "l00314" > < / a > < span class = "lineno" > 314< / span >   < span class = "keywordtype" > bool< / span > useFloat16,< / div >
< div class = "line" > < a name = "l00315" > < / a > < span class = "lineno" > 315< / span >   < span class = "comment" > // output< / span > < / div >
< div class = "line" > < a name = "l00316" > < / a > < span class = "lineno" > 316< / span >   Tensor< float, 2, true> & outDistances,< / div >
< div class = "line" > < a name = "l00317" > < / a > < span class = "lineno" > 317< / span >   < span class = "comment" > // output< / span > < / div >
< div class = "line" > < a name = "l00318" > < / a > < span class = "lineno" > 318< / span >   Tensor< long, 2, true> & outIndices,< / div >
< div class = "line" > < a name = "l00319" > < / a > < span class = "lineno" > 319< / span >   GpuResources* res) {< / div >
< div class = "line" > < a name = "l00320" > < / a > < span class = "lineno" > 320< / span >   constexpr < span class = "keywordtype" > int< / span > kMinQueryTileSize = 8;< / div >
< div class = "line" > < a name = "l00321" > < / a > < span class = "lineno" > 321< / span >   constexpr < span class = "keywordtype" > int< / span > kMaxQueryTileSize = 128;< / div >
< div class = "line" > < a name = "l00322" > < / a > < span class = "lineno" > 322< / span >   constexpr < span class = "keywordtype" > int< / span > kThrustMemSize = 16384;< / div >
< div class = "line" > < a name = "l00323" > < / a > < span class = "lineno" > 323< / span >   < / div >
< div class = "line" > < a name = "l00324" > < / a > < span class = "lineno" > 324< / span >   < span class = "keywordtype" > int< / span > nprobe = listIds.getSize(1);< / div >
< div class = "line" > < a name = "l00325" > < / a > < span class = "lineno" > 325< / span >   < / div >
< div class = "line" > < a name = "l00326" > < / a > < span class = "lineno" > 326< / span >   < span class = "keyword" > auto< / span > & mem = res-> getMemoryManagerCurrentDevice();< / div >
< div class = "line" > < a name = "l00327" > < / a > < span class = "lineno" > 327< / span >   < span class = "keyword" > auto< / span > stream = res-> getDefaultStreamCurrentDevice();< / div >
< div class = "line" > < a name = "l00328" > < / a > < span class = "lineno" > 328< / span >   < / div >
< div class = "line" > < a name = "l00329" > < / a > < span class = "lineno" > 329< / span >   < span class = "comment" > // Make a reservation for Thrust to do its dirty work (global memory< / span > < / div >
< div class = "line" > < a name = "l00330" > < / a > < span class = "lineno" > 330< / span >   < span class = "comment" > // cross-block reduction space); hopefully this is large enough.< / span > < / div >
< div class = "line" > < a name = "l00331" > < / a > < span class = "lineno" > 331< / span >   DeviceTensor< char, 1, true> thrustMem1(< / div >
< div class = "line" > < a name = "l00332" > < / a > < span class = "lineno" > 332< / span >   mem, {kThrustMemSize}, stream);< / div >
< div class = "line" > < a name = "l00333" > < / a > < span class = "lineno" > 333< / span >   DeviceTensor< char, 1, true> thrustMem2(< / div >
< div class = "line" > < a name = "l00334" > < / a > < span class = "lineno" > 334< / span >   mem, {kThrustMemSize}, stream);< / div >
< div class = "line" > < a name = "l00335" > < / a > < span class = "lineno" > 335< / span >   DeviceTensor< char, 1, true> * thrustMem[2] =< / div >
< div class = "line" > < a name = "l00336" > < / a > < span class = "lineno" > 336< / span >   {& thrustMem1, & thrustMem2};< / div >
< div class = "line" > < a name = "l00337" > < / a > < span class = "lineno" > 337< / span >   < / div >
< div class = "line" > < a name = "l00338" > < / a > < span class = "lineno" > 338< / span >   < span class = "comment" > // How much temporary storage is available?< / span > < / div >
< div class = "line" > < a name = "l00339" > < / a > < span class = "lineno" > 339< / span >   < span class = "comment" > // If possible, we' d like to fit within the space available.< / span > < / div >
< div class = "line" > < a name = "l00340" > < / a > < span class = "lineno" > 340< / span >   < span class = "keywordtype" > size_t< / span > sizeAvailable = mem.getSizeAvailable();< / div >
< div class = "line" > < a name = "l00341" > < / a > < span class = "lineno" > 341< / span >   < / div >
< div class = "line" > < a name = "l00342" > < / a > < span class = "lineno" > 342< / span >   < span class = "comment" > // We run two passes of heap selection< / span > < / div >
< div class = "line" > < a name = "l00343" > < / a > < span class = "lineno" > 343< / span >   < span class = "comment" > // This is the size of the first-level heap passes< / span > < / div >
< div class = "line" > < a name = "l00344" > < / a > < span class = "lineno" > 344< / span >   constexpr < span class = "keywordtype" > int< / span > kNProbeSplit = 8;< / div >
< div class = "line" > < a name = "l00345" > < / a > < span class = "lineno" > 345< / span >   < span class = "keywordtype" > int< / span > pass2Chunks = std::min(nprobe, kNProbeSplit);< / 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 = "keywordtype" > size_t< / span > sizeForFirstSelectPass =< / div >
< div class = "line" > < a name = "l00348" > < / a > < span class = "lineno" > 348< / span >   pass2Chunks * k * (< span class = "keyword" > sizeof< / span > (float) + < span class = "keyword" > sizeof< / span > (< span class = "keywordtype" > int< / span > ));< / div >
< div class = "line" > < a name = "l00349" > < / a > < span class = "lineno" > 349< / span >   < / div >
< div class = "line" > < a name = "l00350" > < / a > < span class = "lineno" > 350< / span >   < span class = "comment" > // How much temporary storage we need per each query< / span > < / div >
< div class = "line" > < a name = "l00351" > < / a > < span class = "lineno" > 351< / span >   < span class = "keywordtype" > size_t< / span > sizePerQuery =< / div >
< div class = "line" > < a name = "l00352" > < / a > < span class = "lineno" > 352< / span >   2 * < span class = "comment" > // # streams< / span > < / div >
< div class = "line" > < a name = "l00353" > < / a > < span class = "lineno" > 353< / span >   ((nprobe * < span class = "keyword" > sizeof< / span > (int) + < span class = "keyword" > sizeof< / span > (< span class = "keywordtype" > int< / span > )) + < span class = "comment" > // prefixSumOffsets< / span > < / div >
< div class = "line" > < a name = "l00354" > < / a > < span class = "lineno" > 354< / span >   nprobe * maxListLength * < span class = "keyword" > sizeof< / span > (< span class = "keywordtype" > float< / span > ) + < span class = "comment" > // allDistances< / span > < / div >
< div class = "line" > < a name = "l00355" > < / a > < span class = "lineno" > 355< / span >   sizeForFirstSelectPass);< / div >
< div class = "line" > < a name = "l00356" > < / a > < span class = "lineno" > 356< / span >   < / div >
< div class = "line" > < a name = "l00357" > < / a > < span class = "lineno" > 357< / span >   < span class = "keywordtype" > int< / span > queryTileSize = (int) (sizeAvailable / sizePerQuery);< / div >
< div class = "line" > < a name = "l00358" > < / a > < span class = "lineno" > 358< / span >   < / div >
< div class = "line" > < a name = "l00359" > < / a > < span class = "lineno" > 359< / span >   < span class = "keywordflow" > if< / span > (queryTileSize < kMinQueryTileSize) {< / div >
< div class = "line" > < a name = "l00360" > < / a > < span class = "lineno" > 360< / span >   queryTileSize = kMinQueryTileSize;< / div >
< div class = "line" > < a name = "l00361" > < / a > < span class = "lineno" > 361< / span >   } < span class = "keywordflow" > else< / span > < span class = "keywordflow" > if< / span > (queryTileSize > kMaxQueryTileSize) {< / div >
< div class = "line" > < a name = "l00362" > < / a > < span class = "lineno" > 362< / span >   queryTileSize = kMaxQueryTileSize;< / div >
< div class = "line" > < a name = "l00363" > < / a > < span class = "lineno" > 363< / span >   }< / div >
< div class = "line" > < a name = "l00364" > < / a > < span class = "lineno" > 364< / span >   < / div >
< div class = "line" > < a name = "l00365" > < / a > < span class = "lineno" > 365< / span >   < span class = "comment" > // FIXME: we should adjust queryTileSize to deal with this, since< / span > < / div >
< div class = "line" > < a name = "l00366" > < / a > < span class = "lineno" > 366< / span >   < span class = "comment" > // indexing is in int32< / span > < / div >
< div class = "line" > < a name = "l00367" > < / a > < span class = "lineno" > 367< / span >   FAISS_ASSERT(queryTileSize * nprobe * maxListLength < < / div >
< div class = "line" > < a name = "l00368" > < / a > < span class = "lineno" > 368< / span >   std::numeric_limits< int> ::max());< / div >
< div class = "line" > < a name = "l00369" > < / a > < span class = "lineno" > 369< / span >   < / div >
< div class = "line" > < a name = "l00370" > < / a > < span class = "lineno" > 370< / span >   < span class = "comment" > // Temporary memory buffers< / span > < / div >
< div class = "line" > < a name = "l00371" > < / a > < span class = "lineno" > 371< / span >   < span class = "comment" > // Make sure there is space prior to the start which will be 0, and< / span > < / div >
< div class = "line" > < a name = "l00372" > < / a > < span class = "lineno" > 372< / span >   < span class = "comment" > // will handle the boundary condition without branches< / span > < / div >
< div class = "line" > < a name = "l00373" > < / a > < span class = "lineno" > 373< / span >   DeviceTensor< int, 1, true> prefixSumOffsetSpace1(< / div >
< div class = "line" > < a name = "l00374" > < / a > < span class = "lineno" > 374< / span >   mem, {queryTileSize * nprobe + 1}, stream);< / div >
< div class = "line" > < a name = "l00375" > < / a > < span class = "lineno" > 375< / span >   DeviceTensor< int, 1, true> prefixSumOffsetSpace2(< / div >
< div class = "line" > < a name = "l00376" > < / a > < span class = "lineno" > 376< / span >   mem, {queryTileSize * nprobe + 1}, stream);< / 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 >   DeviceTensor< int, 2, true> prefixSumOffsets1(< / div >
< div class = "line" > < a name = "l00379" > < / a > < span class = "lineno" > 379< / span >   prefixSumOffsetSpace1[1].data(),< / div >
< div class = "line" > < a name = "l00380" > < / a > < span class = "lineno" > 380< / span >   {queryTileSize, nprobe});< / div >
< div class = "line" > < a name = "l00381" > < / a > < span class = "lineno" > 381< / span >   DeviceTensor< int, 2, true> prefixSumOffsets2(< / div >
< div class = "line" > < a name = "l00382" > < / a > < span class = "lineno" > 382< / span >   prefixSumOffsetSpace2[1].data(),< / div >
< div class = "line" > < a name = "l00383" > < / a > < span class = "lineno" > 383< / span >   {queryTileSize, nprobe});< / div >
< div class = "line" > < a name = "l00384" > < / a > < span class = "lineno" > 384< / span >   DeviceTensor< int, 2, true> * prefixSumOffsets[2] =< / div >
< div class = "line" > < a name = "l00385" > < / a > < span class = "lineno" > 385< / span >   {& prefixSumOffsets1, & prefixSumOffsets2};< / div >
< div class = "line" > < a name = "l00386" > < / a > < span class = "lineno" > 386< / span >   < / div >
< div class = "line" > < a name = "l00387" > < / a > < span class = "lineno" > 387< / span >   < span class = "comment" > // Make sure the element before prefixSumOffsets is 0, since we< / span > < / div >
< div class = "line" > < a name = "l00388" > < / a > < span class = "lineno" > 388< / span >   < span class = "comment" > // depend upon simple, boundary-less indexing to get proper results< / span > < / div >
< div class = "line" > < a name = "l00389" > < / a > < span class = "lineno" > 389< / span >   CUDA_VERIFY(cudaMemsetAsync(prefixSumOffsetSpace1.data(),< / div >
< div class = "line" > < a name = "l00390" > < / a > < span class = "lineno" > 390< / span >   0,< / div >
< div class = "line" > < a name = "l00391" > < / a > < span class = "lineno" > 391< / span >   < span class = "keyword" > sizeof< / span > (int),< / div >
< div class = "line" > < a name = "l00392" > < / a > < span class = "lineno" > 392< / span >   stream));< / div >
< div class = "line" > < a name = "l00393" > < / a > < span class = "lineno" > 393< / span >   CUDA_VERIFY(cudaMemsetAsync(prefixSumOffsetSpace2.data(),< / div >
< div class = "line" > < a name = "l00394" > < / a > < span class = "lineno" > 394< / span >   0,< / div >
< div class = "line" > < a name = "l00395" > < / a > < span class = "lineno" > 395< / span >   < span class = "keyword" > sizeof< / span > (int),< / div >
< div class = "line" > < a name = "l00396" > < / a > < span class = "lineno" > 396< / span >   stream));< / div >
< div class = "line" > < a name = "l00397" > < / a > < span class = "lineno" > 397< / span >   < / div >
< div class = "line" > < a name = "l00398" > < / a > < span class = "lineno" > 398< / span >   DeviceTensor< float, 1, true> allDistances1(< / div >
< div class = "line" > < a name = "l00399" > < / a > < span class = "lineno" > 399< / span >   mem, {queryTileSize * nprobe * maxListLength}, stream);< / div >
< div class = "line" > < a name = "l00400" > < / a > < span class = "lineno" > 400< / span >   DeviceTensor< float, 1, true> allDistances2(< / div >
< div class = "line" > < a name = "l00401" > < / a > < span class = "lineno" > 401< / span >   mem, {queryTileSize * nprobe * maxListLength}, stream);< / div >
< div class = "line" > < a name = "l00402" > < / a > < span class = "lineno" > 402< / span >   DeviceTensor< float, 1, true> * allDistances[2] =< / div >
< div class = "line" > < a name = "l00403" > < / a > < span class = "lineno" > 403< / span >   {& allDistances1, & allDistances2};< / 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 >   DeviceTensor< float, 3, true> heapDistances1(< / div >
< div class = "line" > < a name = "l00406" > < / a > < span class = "lineno" > 406< / span >   mem, {queryTileSize, pass2Chunks, k}, stream);< / div >
< div class = "line" > < a name = "l00407" > < / a > < span class = "lineno" > 407< / span >   DeviceTensor< float, 3, true> heapDistances2(< / div >
< div class = "line" > < a name = "l00408" > < / a > < span class = "lineno" > 408< / span >   mem, {queryTileSize, pass2Chunks, k}, stream);< / div >
< div class = "line" > < a name = "l00409" > < / a > < span class = "lineno" > 409< / span >   DeviceTensor< float, 3, true> * heapDistances[2] =< / div >
< div class = "line" > < a name = "l00410" > < / a > < span class = "lineno" > 410< / span >   {& heapDistances1, & heapDistances2};< / div >
< div class = "line" > < a name = "l00411" > < / a > < span class = "lineno" > 411< / span >   < / div >
< div class = "line" > < a name = "l00412" > < / a > < span class = "lineno" > 412< / span >   DeviceTensor< int, 3, true> heapIndices1(< / div >
< div class = "line" > < a name = "l00413" > < / a > < span class = "lineno" > 413< / span >   mem, {queryTileSize, pass2Chunks, k}, stream);< / div >
< div class = "line" > < a name = "l00414" > < / a > < span class = "lineno" > 414< / span >   DeviceTensor< int, 3, true> heapIndices2(< / div >
< div class = "line" > < a name = "l00415" > < / a > < span class = "lineno" > 415< / span >   mem, {queryTileSize, pass2Chunks, k}, stream);< / div >
< div class = "line" > < a name = "l00416" > < / a > < span class = "lineno" > 416< / span >   DeviceTensor< int, 3, true> * heapIndices[2] =< / div >
< div class = "line" > < a name = "l00417" > < / a > < span class = "lineno" > 417< / span >   {& heapIndices1, & heapIndices2};< / div >
< div class = "line" > < a name = "l00418" > < / a > < span class = "lineno" > 418< / span >   < / div >
< div class = "line" > < a name = "l00419" > < / a > < span class = "lineno" > 419< / span >   < span class = "keyword" > auto< / span > streams = res-> getAlternateStreamsCurrentDevice();< / div >
< div class = "line" > < a name = "l00420" > < / a > < span class = "lineno" > 420< / span >   streamWait(streams, {stream});< / 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 >   < span class = "keywordtype" > int< / span > curStream = 0;< / div >
< div class = "line" > < a name = "l00423" > < / a > < span class = "lineno" > 423< / span >   < / div >
< div class = "line" > < a name = "l00424" > < / a > < span class = "lineno" > 424< / span >   < span class = "keywordflow" > for< / span > (< span class = "keywordtype" > int< / span > query = 0; query < queries.getSize(0); query += queryTileSize) {< / div >
< div class = "line" > < a name = "l00425" > < / a > < span class = "lineno" > 425< / span >   < span class = "keywordtype" > int< / span > numQueriesInTile =< / div >
< div class = "line" > < a name = "l00426" > < / a > < span class = "lineno" > 426< / span >   std::min(queryTileSize, queries.getSize(0) - query);< / div >
< div class = "line" > < a name = "l00427" > < / a > < span class = "lineno" > 427< / span >   < / div >
< div class = "line" > < a name = "l00428" > < / a > < span class = "lineno" > 428< / span >   < span class = "keyword" > auto< / span > prefixSumOffsetsView =< / div >
< div class = "line" > < a name = "l00429" > < / a > < span class = "lineno" > 429< / span >   prefixSumOffsets[curStream]-> narrowOutermost(0, numQueriesInTile);< / div >
< div class = "line" > < a name = "l00430" > < / a > < span class = "lineno" > 430< / span >   < / div >
< div class = "line" > < a name = "l00431" > < / a > < span class = "lineno" > 431< / span >   < span class = "keyword" > auto< / span > listIdsView =< / div >
< div class = "line" > < a name = "l00432" > < / a > < span class = "lineno" > 432< / span >   listIds.narrowOutermost(query, numQueriesInTile);< / div >
< div class = "line" > < a name = "l00433" > < / a > < span class = "lineno" > 433< / span >   < span class = "keyword" > auto< / span > queryView =< / div >
< div class = "line" > < a name = "l00434" > < / a > < span class = "lineno" > 434< / span >   queries.narrowOutermost(query, numQueriesInTile);< / div >
< div class = "line" > < a name = "l00435" > < / a > < span class = "lineno" > 435< / span >   < / div >
< div class = "line" > < a name = "l00436" > < / a > < span class = "lineno" > 436< / span >   < span class = "keyword" > auto< / span > heapDistancesView =< / div >
< div class = "line" > < a name = "l00437" > < / a > < span class = "lineno" > 437< / span >   heapDistances[curStream]-> narrowOutermost(0, numQueriesInTile);< / div >
< div class = "line" > < a name = "l00438" > < / a > < span class = "lineno" > 438< / span >   < span class = "keyword" > auto< / span > heapIndicesView =< / div >
< div class = "line" > < a name = "l00439" > < / a > < span class = "lineno" > 439< / span >   heapIndices[curStream]-> narrowOutermost(0, numQueriesInTile);< / div >
< div class = "line" > < a name = "l00440" > < / a > < span class = "lineno" > 440< / span >   < / div >
< div class = "line" > < a name = "l00441" > < / a > < span class = "lineno" > 441< / span >   < span class = "keyword" > auto< / span > outDistanceView =< / div >
< div class = "line" > < a name = "l00442" > < / a > < span class = "lineno" > 442< / span >   outDistances.narrowOutermost(query, numQueriesInTile);< / div >
< div class = "line" > < a name = "l00443" > < / a > < span class = "lineno" > 443< / span >   < span class = "keyword" > auto< / span > outIndicesView =< / div >
< div class = "line" > < a name = "l00444" > < / a > < span class = "lineno" > 444< / span >   outIndices.narrowOutermost(query, numQueriesInTile);< / div >
< div class = "line" > < a name = "l00445" > < / a > < span class = "lineno" > 445< / span >   < / div >
< div class = "line" > < a name = "l00446" > < / a > < span class = "lineno" > 446< / span >   runIVFFlatScanTile(queryView,< / div >
< div class = "line" > < a name = "l00447" > < / a > < span class = "lineno" > 447< / span >   listIdsView,< / div >
< div class = "line" > < a name = "l00448" > < / a > < span class = "lineno" > 448< / span >   listData,< / div >
< div class = "line" > < a name = "l00449" > < / a > < span class = "lineno" > 449< / span >   listIndices,< / div >
< div class = "line" > < a name = "l00450" > < / a > < span class = "lineno" > 450< / span >   indicesOptions,< / div >
< div class = "line" > < a name = "l00451" > < / a > < span class = "lineno" > 451< / span >   listLengths,< / div >
< div class = "line" > < a name = "l00452" > < / a > < span class = "lineno" > 452< / span >   *thrustMem[curStream],< / div >
< div class = "line" > < a name = "l00453" > < / a > < span class = "lineno" > 453< / span >   prefixSumOffsetsView,< / div >
< div class = "line" > < a name = "l00454" > < / a > < span class = "lineno" > 454< / span >   *allDistances[curStream],< / div >
< div class = "line" > < a name = "l00455" > < / a > < span class = "lineno" > 455< / span >   heapDistancesView,< / div >
< div class = "line" > < a name = "l00456" > < / a > < span class = "lineno" > 456< / span >   heapIndicesView,< / div >
< div class = "line" > < a name = "l00457" > < / a > < span class = "lineno" > 457< / span >   k,< / div >
< div class = "line" > < a name = "l00458" > < / a > < span class = "lineno" > 458< / span >   l2Distance,< / div >
< div class = "line" > < a name = "l00459" > < / a > < span class = "lineno" > 459< / span >   useFloat16,< / div >
< div class = "line" > < a name = "l00460" > < / a > < span class = "lineno" > 460< / span >   outDistanceView,< / div >
< div class = "line" > < a name = "l00461" > < / a > < span class = "lineno" > 461< / span >   outIndicesView,< / div >
< div class = "line" > < a name = "l00462" > < / a > < span class = "lineno" > 462< / span >   streams[curStream]);< / div >
< div class = "line" > < a name = "l00463" > < / a > < span class = "lineno" > 463< / span >   < / div >
< div class = "line" > < a name = "l00464" > < / a > < span class = "lineno" > 464< / span >   curStream = (curStream + 1) % 2;< / 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 >   < / div >
< div class = "line" > < a name = "l00467" > < / a > < span class = "lineno" > 467< / span >   streamWait({stream}, streams);< / div >
< div class = "line" > < a name = "l00468" > < / a > < span class = "lineno" > 468< / span >   }< / div >
< div class = "line" > < a name = "l00469" > < / a > < span class = "lineno" > 469< / span >   < / div >
< div class = "line" > < a name = "l00470" > < / a > < span class = "lineno" > 470< / span >   } } < span class = "comment" > // namespace< / span > < / div >
< div class = "ttc" id = "structfaiss_1_1gpu_1_1Math_html_a4b17f0b5d014f300e76dde5b24af8014" > < div class = "ttname" > < a href = "structfaiss_1_1gpu_1_1Math.html#a4b17f0b5d014f300e76dde5b24af8014" > faiss::gpu::Math::reduceAdd< / a > < / div > < div class = "ttdeci" > static __device__ T reduceAdd(T v)< / div > < div class = "ttdoc" > For a vector type, this is a horizontal add, returning sum(v_i) < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "MathOperators_8cuh_source.html#l00042" > MathOperators.cuh:42< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1Tensor_html_a6699c311648457f257afa340c61f417c" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html#a6699c311648457f257afa340c61f417c" > faiss::gpu::Tensor::getSize< / a > < / div > < div class = "ttdeci" > __host__ __device__ IndexT getSize(int i) const < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Tensor_8cuh_source.html#l00222" > Tensor.cuh:222< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1Tensor_html_a50411ce4d0fa32ef715e3321b6e33212" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html#a50411ce4d0fa32ef715e3321b6e33212" > faiss::gpu::Tensor::data< / a > < / div > < div class = "ttdeci" > __host__ __device__ DataPtrType data()< / div > < div class = "ttdoc" > Returns a raw pointer to the start of our data. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Tensor_8cuh_source.html#l00174" > Tensor.cuh:174< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1gpu_1_1ConvertTo_html" > < div class = "ttname" > < a href = "structfaiss_1_1gpu_1_1ConvertTo.html" > faiss::gpu::ConvertTo< / a > < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "ConversionOperators_8cuh_source.html#l00028" > ConversionOperators.cuh:28< / a > < / div > < / div >
< div class = "ttc" id = "classfaiss_1_1gpu_1_1Tensor_html" > < div class = "ttname" > < a href = "classfaiss_1_1gpu_1_1Tensor.html" > faiss::gpu::Tensor< / a > < / div > < div class = "ttdoc" > Our tensor type. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "Tensor_8cuh_source.html#l00028" > Tensor.cuh:28< / a > < / div > < / div >
< div class = "ttc" id = "structfaiss_1_1gpu_1_1IVFFlatScan_html" > < div class = "ttname" > < a href = "structfaiss_1_1gpu_1_1IVFFlatScan.html" > faiss::gpu::IVFFlatScan< / a > < / div > < div class = "ttdoc" > The class that we use to provide scan specializations. < / div > < div class = "ttdef" > < b > Definition:< / b > < a href = "IVFFlatScan_8cu_source.html#l00044" > IVFFlatScan.cu:44< / a > < / div > < / div >
2017-02-23 06:26:44 +08:00
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