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2017-02-23 06:26:44 +08:00
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< div class = "title" > IVFUtils.cu< / div > < / div >
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< div class = "fragment" > < div class = "line" > < a name = "l00001" > < / a > < span class = "lineno" > 1< / span >   < span class = "comment" > < / span > < / div >
< div class = "line" > < a name = "l00002" > < / a > < span class = "lineno" > 2< / span >   < span class = "comment" > /**< / span > < / div >
< div class = "line" > < a name = "l00003" > < / a > < span class = "lineno" > 3< / span >   < span class = "comment" > * Copyright (c) 2015-present, Facebook, Inc.< / span > < / div >
< div class = "line" > < a name = "l00004" > < / a > < span class = "lineno" > 4< / span >   < span class = "comment" > * All rights reserved.< / span > < / div >
< div class = "line" > < a name = "l00005" > < / a > < span class = "lineno" > 5< / span >   < span class = "comment" > *< / span > < / div >
< div class = "line" > < a name = "l00006" > < / a > < span class = "lineno" > 6< / span >   < span class = "comment" > * This source code is licensed under the CC-by-NC license found in the< / span > < / div >
< div class = "line" > < a name = "l00007" > < / a > < span class = "lineno" > 7< / span >   < span class = "comment" > * LICENSE file in the root directory of this source tree.< / span > < / div >
< div class = "line" > < a name = "l00008" > < / a > < span class = "lineno" > 8< / span >   < span class = "comment" > */< / span > < / div >
< div class = "line" > < a name = "l00009" > < / a > < span class = "lineno" > 9< / span >   < / div >
< div class = "line" > < a name = "l00010" > < / a > < span class = "lineno" > 10< / span >   < span class = "comment" > // Copyright 2004-present Facebook. All Rights Reserved.< / span > < / div >
< div class = "line" > < a name = "l00011" > < / a > < span class = "lineno" > 11< / span >   < / div >
< div class = "line" > < a name = "l00012" > < / a > < span class = "lineno" > 12< / span >   < span class = "preprocessor" > #include " IVFUtils.cuh" < / span > < / div >
< div class = "line" > < a name = "l00013" > < / a > < span class = "lineno" > 13< / span >   < span class = "preprocessor" > #include " ../utils/DeviceUtils.h" < / span > < / div >
< div class = "line" > < a name = "l00014" > < / a > < span class = "lineno" > 14< / span >   < span class = "preprocessor" > #include " ../utils/StaticUtils.h" < / span > < / div >
< div class = "line" > < a name = "l00015" > < / a > < span class = "lineno" > 15< / span >   < span class = "preprocessor" > #include " ../utils/Tensor.cuh" < / span > < / div >
< div class = "line" > < a name = "l00016" > < / a > < span class = "lineno" > 16< / span >   < span class = "preprocessor" > #include " ../utils/ThrustAllocator.cuh" < / span > < / div >
< div class = "line" > < a name = "l00017" > < / a > < span class = "lineno" > 17< / span >   < span class = "preprocessor" > #include < thrust/scan.h> < / span > < / div >
< div class = "line" > < a name = "l00018" > < / a > < span class = "lineno" > 18< / span >   < span class = "preprocessor" > #include < thrust/execution_policy.h> < / span > < / div >
< div class = "line" > < a name = "l00019" > < / a > < span class = "lineno" > 19< / span >   < / div >
< div class = "line" > < a name = "l00020" > < / a > < span class = "lineno" > 20< / span >   < span class = "keyword" > namespace < / span > faiss { < span class = "keyword" > namespace < / span > gpu {< / div >
< div class = "line" > < a name = "l00021" > < / a > < span class = "lineno" > 21< / span >   < / div >
< div class = "line" > < a name = "l00022" > < / a > < span class = "lineno" > 22< / span >   < span class = "comment" > // Calculates the total number of intermediate distances to consider< / span > < / div >
< div class = "line" > < a name = "l00023" > < / a > < span class = "lineno" > 23< / span >   < span class = "comment" > // for all queries< / span > < / div >
< div class = "line" > < a name = "l00024" > < / a > < span class = "lineno" > 24< / span >   __global__ < span class = "keywordtype" > void< / span > < / div >
< div class = "line" > < a name = "l00025" > < / a > < span class = "lineno" > 25< / span >   getResultLengths(Tensor< int, 2, true> topQueryToCentroid,< / div >
< div class = "line" > < a name = "l00026" > < / a > < span class = "lineno" > 26< / span >   < span class = "keywordtype" > int< / span > * listLengths,< / div >
< div class = "line" > < a name = "l00027" > < / a > < span class = "lineno" > 27< / span >   < span class = "keywordtype" > int< / span > totalSize,< / div >
< div class = "line" > < a name = "l00028" > < / a > < span class = "lineno" > 28< / span >   Tensor< int, 2, true> length) {< / div >
< div class = "line" > < a name = "l00029" > < / a > < span class = "lineno" > 29< / span >   < span class = "keywordtype" > int< / span > linearThreadId = blockIdx.x * blockDim.x + threadIdx.x;< / div >
< div class = "line" > < a name = "l00030" > < / a > < span class = "lineno" > 30< / span >   < span class = "keywordflow" > if< / span > (linearThreadId > = totalSize) {< / div >
< div class = "line" > < a name = "l00031" > < / a > < span class = "lineno" > 31< / span >   < span class = "keywordflow" > return< / 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 >   < / div >
< div class = "line" > < a name = "l00034" > < / a > < span class = "lineno" > 34< / span >   < span class = "keywordtype" > int< / span > nprobe = topQueryToCentroid.getSize(1);< / div >
< div class = "line" > < a name = "l00035" > < / a > < span class = "lineno" > 35< / span >   < span class = "keywordtype" > int< / span > queryId = linearThreadId / nprobe;< / div >
< div class = "line" > < a name = "l00036" > < / a > < span class = "lineno" > 36< / span >   < span class = "keywordtype" > int< / span > listId = linearThreadId % nprobe;< / 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 = "keywordtype" > int< / span > centroidId = topQueryToCentroid[queryId][listId];< / div >
< div class = "line" > < a name = "l00039" > < / a > < span class = "lineno" > 39< / span >   < / div >
< div class = "line" > < a name = "l00040" > < / a > < span class = "lineno" > 40< / span >   < span class = "comment" > // Safety guard in case NaNs in input cause no list ID to be generated< / span > < / div >
< div class = "line" > < a name = "l00041" > < / a > < span class = "lineno" > 41< / span >   length[queryId][listId] = (centroidId != -1) ? listLengths[centroidId] : 0;< / div >
< div class = "line" > < a name = "l00042" > < / a > < span class = "lineno" > 42< / span >   }< / div >
< div class = "line" > < a name = "l00043" > < / a > < span class = "lineno" > 43< / span >   < / div >
< div class = "line" > < a name = "l00044" > < / a > < span class = "lineno" > 44< / span >   < span class = "keywordtype" > void< / span > runCalcListOffsets(Tensor< int, 2, true> & topQueryToCentroid,< / div >
< div class = "line" > < a name = "l00045" > < / a > < span class = "lineno" > 45< / span >   thrust::device_vector< int> & listLengths,< / div >
< div class = "line" > < a name = "l00046" > < / a > < span class = "lineno" > 46< / span >   Tensor< int, 2, true> & prefixSumOffsets,< / div >
< div class = "line" > < a name = "l00047" > < / a > < span class = "lineno" > 47< / span >   Tensor< char, 1, true> & thrustMem,< / div >
< div class = "line" > < a name = "l00048" > < / a > < span class = "lineno" > 48< / span >   cudaStream_t stream) {< / div >
< div class = "line" > < a name = "l00049" > < / a > < span class = "lineno" > 49< / span >   FAISS_ASSERT(topQueryToCentroid.getSize(0) == prefixSumOffsets.getSize(0));< / div >
< div class = "line" > < a name = "l00050" > < / a > < span class = "lineno" > 50< / span >   FAISS_ASSERT(topQueryToCentroid.getSize(1) == prefixSumOffsets.getSize(1));< / div >
< div class = "line" > < a name = "l00051" > < / a > < span class = "lineno" > 51< / span >   < / div >
< div class = "line" > < a name = "l00052" > < / a > < span class = "lineno" > 52< / span >   < span class = "keywordtype" > int< / span > totalSize = topQueryToCentroid.numElements();< / 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 = "keywordtype" > int< / span > numThreads = std::min(totalSize, getMaxThreadsCurrentDevice());< / div >
< div class = "line" > < a name = "l00055" > < / a > < span class = "lineno" > 55< / span >   < span class = "keywordtype" > int< / span > numBlocks = utils::divUp(totalSize, numThreads);< / div >
< div class = "line" > < a name = "l00056" > < / a > < span class = "lineno" > 56< / span >   < / div >
< div class = "line" > < a name = "l00057" > < / a > < span class = "lineno" > 57< / span >   < span class = "keyword" > auto< / span > grid = dim3(numBlocks);< / div >
< div class = "line" > < a name = "l00058" > < / a > < span class = "lineno" > 58< / span >   < span class = "keyword" > auto< / span > block = dim3(numThreads);< / 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 >   getResultLengths< < < grid, block, 0, stream> > > (< / div >
< div class = "line" > < a name = "l00061" > < / a > < span class = "lineno" > 61< / span >   topQueryToCentroid,< / div >
< div class = "line" > < a name = "l00062" > < / a > < span class = "lineno" > 62< / span >   listLengths.data().get(),< / div >
< div class = "line" > < a name = "l00063" > < / a > < span class = "lineno" > 63< / span >   totalSize,< / div >
< div class = "line" > < a name = "l00064" > < / a > < span class = "lineno" > 64< / span >   prefixSumOffsets);< / 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 = "comment" > // Prefix sum of the indices, so we know where the intermediate< / span > < / div >
< div class = "line" > < a name = "l00067" > < / a > < span class = "lineno" > 67< / span >   < span class = "comment" > // results should be maintained< / span > < / div >
< div class = "line" > < a name = "l00068" > < / a > < span class = "lineno" > 68< / span >   < span class = "comment" > // Thrust wants a place for its temporary allocations, so provide< / span > < / div >
< div class = "line" > < a name = "l00069" > < / a > < span class = "lineno" > 69< / span >   < span class = "comment" > // one, so it won' t call cudaMalloc/Free< / span > < / div >
< div class = "line" > < a name = "l00070" > < / a > < span class = "lineno" > 70< / span >   GpuResourcesThrustAllocator alloc(thrustMem.data(),< / div >
< div class = "line" > < a name = "l00071" > < / a > < span class = "lineno" > 71< / span >   thrustMem.getSizeInBytes());< / 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 >   thrust::inclusive_scan(thrust::cuda::par(alloc).on(stream),< / div >
< div class = "line" > < a name = "l00074" > < / a > < span class = "lineno" > 74< / span >   prefixSumOffsets.data(),< / div >
< div class = "line" > < a name = "l00075" > < / a > < span class = "lineno" > 75< / span >   prefixSumOffsets.data() + totalSize,< / div >
< div class = "line" > < a name = "l00076" > < / a > < span class = "lineno" > 76< / span >   prefixSumOffsets.data());< / div >
< div class = "line" > < a name = "l00077" > < / a > < span class = "lineno" > 77< / span >   }< / 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 = "comment" > // namespace< / span > < / div >
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