// Copyright (c) Microsoft Corporation. All rights reserved. // Licensed under the MIT License. #include "inc/Test.h" #include "inc/Helper/SimpleIniReader.h" #include "inc/Core/VectorIndex.h" #include "inc/Core/MultiIndexScan.h" #include "inc/Core/Common/CommonUtils.h" #include #include #include std::vector VID2rid; // top number to query int topk = 50; //vector dimension SPTAG::DimensionType m = 1024; std::string pathEmbeddings = "/embeddings/"; std::string outputResult = "/result/"; std::vector testSearchLimit = {256, 512, 1024}; struct FinalData{ double Dist; int rid, vid; FinalData(double x, int y, int z): Dist(x), rid(y), vid(z){} bool operator < (const FinalData x) const { return Dist < x.Dist; } }; static std::string indexName(unsigned int id){ return "testindices" + std::to_string(id); } template void BuildIndex(SPTAG::IndexAlgoType algo, std::string distCalcMethod, std::shared_ptr& vec, std::shared_ptr& meta, const std::string out) { std::shared_ptr vecIndex = SPTAG::VectorIndex::CreateInstance(algo, SPTAG::GetEnumValueType()); BOOST_CHECK(nullptr != vecIndex); vecIndex->SetParameter("DistCalcMethod", distCalcMethod); vecIndex->SetParameter("NumberOfThreads", "16"); BOOST_CHECK(SPTAG::ErrorCode::Success == vecIndex->BuildIndex(vec, meta)); BOOST_CHECK(SPTAG::ErrorCode::Success == vecIndex->SaveIndex(out)); } float sumFunc(std::vector in){ return std::accumulate(in.begin(), in.end(), (float)0.0); } template void GenerateVectorDataSet(SPTAG::IndexAlgoType algo, std::string distCalcMethod, unsigned int id, std::vector &query, std::vector &query_id, std::string File_name){ SPTAG::SizeType n = 0, q = 0; std::string fileName; fileName = pathEmbeddings + File_name + "_embeds_collection.tsv"; std::ifstream in1(fileName.c_str()); if (!in1) { std::cout << "Fail to read " << fileName << "." << std::endl; return; } std::vector vec; std::string line; std::vector meta; for (; getline(in1, line); n++) { std::uint64_t number = 0; std::string a = line.substr(0, line.find("\t")); for (size_t j = 0; j < a.length(); j++) number = number * 10 + a[j] - '0'; VID2rid.push_back((int)number); meta.push_back(number); int l = (int)vec.size(); line.erase(0, line.find("[") + 1); for (SPTAG::DimensionType j = 0; j < m - 1; j++) { vec.push_back((T)std::stof(line.substr(0, line.find(",")))); line.erase(0, line.find(",") + 2); } vec.push_back((T)std::stof(line.substr(0, line.find("]")))); //normalization; int r = (int)vec.size(); double sum = 0.0; for (int i = l; i < r; i++) sum += vec[i] * vec[i]; sum = sqrt(sum); for (int i = l; i < r; i++) vec[i] = (T)(vec[i] / sum); } fileName = pathEmbeddings + File_name + "_embeds_query.tsv"; std::ifstream in2(fileName.c_str()); if (!in2) { std::cout << "Fail to read " << fileName << "." << std::endl; return; } for (; getline(in2, line); q++) { query_id.push_back((T)std::stof(line.substr(0, line.find("\t")))); int l = (int)query.size(); line.erase(0, line.find("[") + 1); for (SPTAG::DimensionType j = 0; j < m - 1; j++) { query.push_back((T)std::stof(line.substr(0, line.find(",")))); line.erase(0, line.find(",") + 2); } query.push_back((T)std::stof(line.substr(0, line.find("]")))); //normalization; int r = (int)query.size(); double sum = 0.0; for (int i = l; i < r; i++) sum += query[i] * query[i]; sum = sqrt(sum); for (int i = l; i < r; i++) query[i] = (T)(query[i] / sum); } std::shared_ptr vecset(new SPTAG::BasicVectorSet( SPTAG::ByteArray((std::uint8_t*)vec.data(), sizeof(T) * n * m, false), SPTAG::GetEnumValueType(), m, n)); std::shared_ptr metaset (new SPTAG::MemMetadataSet( n * sizeof(std::uint64_t), n * sizeof(std::uint64_t), n)); for (auto x : meta){ std::uint8_t result[sizeof(x)]; std::memcpy(result, &x, sizeof(x)); metaset->Add(SPTAG::ByteArray(result, 8, false)); } BuildIndex(algo, distCalcMethod, vecset, metaset, indexName(id).c_str()); } template void TestMultiIndexScanN(SPTAG::IndexAlgoType algo, std::string distCalcMethod, unsigned int n) { std::vector> queries(n, std::vector()); std::vector> query_id(n, std::vector()); GenerateVectorDataSet(algo, distCalcMethod, 0, queries[0], query_id[0], "img"); GenerateVectorDataSet(algo, distCalcMethod, 1, queries[1], query_id[1], "rec"); for (auto KK: testSearchLimit) { std::string output_result_path = outputResult + std::to_string(KK) + "_qrels.txt"; std::string output_lantency_path = outputResult + std::to_string(KK) + "_latency.txt"; std::ofstream out1; out1.open(output_result_path); if (!out1.is_open()) { std::cout << "Cannot open file out1" << std::endl; return ; } std::ofstream out2; out2.open(output_lantency_path); if (!out2.is_open()) { std::cout << "Cannot open file out2" << std::endl; return ; } for ( int i = 0; i < query_id[0].size(); i++ ){ std::vector> query_current(n, std::vector()); for ( unsigned int j = 0; j < n ; j++ ){ for ( int k = i * m; k < i * m + m; k++ ){ query_current[j].push_back(queries[j][k]); } } int idquery = (int)query_id[0][i]; std::vector> vecIndices; std::vector p_targets; for ( unsigned int i = 0; i < n; i++ ) { std::shared_ptr vecIndex; BOOST_CHECK(SPTAG::ErrorCode::Success == SPTAG::VectorIndex::LoadIndex(indexName(i).c_str(), vecIndex)); BOOST_CHECK(nullptr != vecIndex); vecIndices.push_back(vecIndex); p_targets.push_back(query_current[i].data()); } double Begin_time = clock(); SPTAG::MultiIndexScan scan(vecIndices, p_targets, topk, &sumFunc, false, 10000000, KK); SPTAG::BasicResult result; std::set FinalResult; for (int i = 0; i < topk; i++) { bool hasResult = scan.Next(result); if (!hasResult) break; FinalResult.insert(FinalData(result.Dist, VID2rid[result.VID], result.VID)); auto Finaltmp = FinalResult.end(); Finaltmp--; if (FinalResult.size() > topk) FinalResult.erase(Finaltmp); } double End_time = clock(); out2 << idquery << "\t" << (End_time-Begin_time)/CLOCKS_PER_SEC << std::endl; int Rank = 0; for (auto i = FinalResult.begin(); i != FinalResult.end(); i++) out1 << idquery << " " << i->rid << " " << ++Rank << " " << i->vid << " " << i->Dist << std::endl; for (int i = (int)FinalResult.size(); i < topk; i++) out1 << idquery << " " << -1 << " " << ++Rank << " " << -1 << " " << -1 << std::endl; scan.Close(); } } } BOOST_AUTO_TEST_SUITE(MultiIndexExperiment) BOOST_AUTO_TEST_CASE(BKTTest) { TestMultiIndexScanN(SPTAG::IndexAlgoType::BKT, "InnerProduct", 2); } BOOST_AUTO_TEST_SUITE_END()