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Merge branch 'update_unittest' into 'branch-0.5.0'
MS-648 Update unittest See merge request megasearch/milvus!702 Former-commit-id: 8778310c238e45ea61f0266d6e983430ce75b572
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fce032b31e
@ -36,6 +36,7 @@ Please mark all change in change log and use the ticket from JIRA.
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- MS-619 - Add optimizer class in scheduler
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- MS-614 - Preload table at startup
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- MS-626 - Refactor DataObj to support cache any type data
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- MS-648 - Improve unittest
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## New Feature
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- MS-627 - Integrate new index: IVFSQHybrid
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@ -71,4 +71,13 @@ GPUIVFSQ::CopyGpuToCpu(const Config& config) {
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return std::make_shared<IVFSQ>(new_index);
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}
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void
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GPUIVFSQ::search_impl(int64_t n, const float* data, int64_t k, float* distances, int64_t* labels, const Config& cfg) {
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#ifdef CUSTOMIZATION
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GPUIVF::search_impl(n, data, k, distances, labels, cfg);
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#else
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IVF::search_impl(n, data, k, distances, labels, cfg);
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#endif
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}
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} // namespace knowhere
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@ -38,6 +38,10 @@ class GPUIVFSQ : public GPUIVF {
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VectorIndexPtr
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CopyGpuToCpu(const Config& config) override;
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protected:
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void
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search_impl(int64_t n, const float* data, int64_t k, float* distances, int64_t* labels, const Config& cfg) override;
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};
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} // namespace knowhere
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@ -154,8 +154,8 @@ class IVFTest : public DataGen, public TestWithParam<::std::tuple<std::string, P
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INSTANTIATE_TEST_CASE_P(IVFParameters, IVFTest,
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Values(std::make_tuple("IVF", ParameterType::ivf),
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std::make_tuple("GPUIVF", ParameterType::ivf),
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// std::make_tuple("IVFPQ", ParameterType::ivfpq),
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// std::make_tuple("GPUIVFPQ", ParameterType::ivfpq),
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std::make_tuple("IVFPQ", ParameterType::ivfpq),
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std::make_tuple("GPUIVFPQ", ParameterType::ivfpq),
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std::make_tuple("IVFSQ", ParameterType::ivfsq),
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#ifdef CUSTOMIZATION
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std::make_tuple("IVFSQHybrid", ParameterType::ivfsq),
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@ -240,25 +240,26 @@ TEST_P(IVFTest, hybrid) {
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auto result = hybrid_1_idx->Search(query_dataset, conf);
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AssertAnns(result, nq, conf->k);
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PrintResult(result, nq, k);
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hybrid_1_idx->UnsetQuantizer();
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}
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{
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auto hybrid_2_idx = std::make_shared<knowhere::IVFSQHybrid>(device_id);
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auto binaryset = index_->Serialize();
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hybrid_2_idx->Load(binaryset);
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auto quantizer_conf = std::make_shared<knowhere::QuantizerCfg>();
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quantizer_conf->mode = 1;
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quantizer_conf->gpu_id = device_id;
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auto q = hybrid_2_idx->LoadQuantizer(quantizer_conf);
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quantizer_conf->mode = 2;
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hybrid_2_idx->LoadData(q, quantizer_conf);
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auto result = hybrid_2_idx->Search(query_dataset, conf);
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AssertAnns(result, nq, conf->k);
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PrintResult(result, nq, k);
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}
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// {
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// auto hybrid_2_idx = std::make_shared<knowhere::IVFSQHybrid>(device_id);
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//
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// auto binaryset = index_->Serialize();
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// hybrid_2_idx->Load(binaryset);
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//
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// auto quantizer_conf = std::make_shared<knowhere::QuantizerCfg>();
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// quantizer_conf->mode = 1;
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// quantizer_conf->gpu_id = device_id;
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// auto q = hybrid_2_idx->LoadQuantizer(quantizer_conf);
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// quantizer_conf->mode = 2;
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// hybrid_2_idx->LoadData(q, quantizer_conf);
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//
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// auto result = hybrid_2_idx->Search(query_dataset, conf);
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// AssertAnns(result, nq, conf->k);
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// PrintResult(result, nq, k);
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// }
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}
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// TEST_P(IVFTest, gpu_to_cpu) {
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@ -438,6 +439,7 @@ TEST_P(IVFTest, clone_test) {
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}
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}
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#ifdef CUSTOMIZATION
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TEST_P(IVFTest, seal_test) {
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// FaissGpuResourceMgr::GetInstance().InitDevice(device_id);
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@ -472,6 +474,7 @@ TEST_P(IVFTest, seal_test) {
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auto with_seal = tc.RecordSection("With seal");
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ASSERT_GE(without_seal, with_seal);
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}
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#endif
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class GPURESTEST : public DataGen, public ::testing::Test {
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protected:
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@ -637,7 +640,7 @@ TEST_F(GPURESTEST, copyandsearch) {
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// search and copy at the same time
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printf("==================\n");
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index_type = "GPUIVFSQ";
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index_type = "GPUIVF";
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index_ = IndexFactory(index_type);
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auto conf = std::make_shared<knowhere::IVFSQCfg>();
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@ -699,7 +702,7 @@ TEST_F(GPURESTEST, copyandsearch) {
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}
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TEST_F(GPURESTEST, TrainAndSearch) {
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index_type = "GPUIVFSQ";
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index_type = "GPUIVF";
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index_ = IndexFactory(index_type);
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auto conf = std::make_shared<knowhere::IVFSQCfg>();
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@ -36,6 +36,7 @@ class KDTTest : public DataGen, public ::testing::Test {
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protected:
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void
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SetUp() override {
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Generate(96, 1000, 10);
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index_ = std::make_shared<knowhere::CPUKDTRNG>();
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auto tempconf = std::make_shared<knowhere::KDTCfg>();
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@ -38,17 +38,17 @@ class NSGInterfaceTest : public DataGen, public ::testing::Test {
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SetUp() override {
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// Init_with_default();
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knowhere::FaissGpuResourceMgr::GetInstance().InitDevice(DEVICE_ID, 1024 * 1024 * 200, 1024 * 1024 * 600, 2);
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Generate(256, 1000000, 1);
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Generate(256, 1000000 / 100, 1);
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index_ = std::make_shared<knowhere::NSG>();
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auto tmp_conf = std::make_shared<knowhere::NSGCfg>();
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tmp_conf->gpu_id = DEVICE_ID;
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tmp_conf->knng = 100;
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tmp_conf->nprobe = 32;
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tmp_conf->nlist = 16384;
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tmp_conf->search_length = 60;
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tmp_conf->out_degree = 70;
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tmp_conf->candidate_pool_size = 500;
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tmp_conf->knng = 20;
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tmp_conf->nprobe = 8;
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tmp_conf->nlist = 163;
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tmp_conf->search_length = 40;
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tmp_conf->out_degree = 30;
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tmp_conf->candidate_pool_size = 100;
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tmp_conf->metric_type = knowhere::METRICTYPE::L2;
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train_conf = tmp_conf;
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@ -297,6 +297,7 @@ TEST_F(DBTest, SEARCH_TEST) {
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ASSERT_TRUE(stat.ok());
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}
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#ifdef CUSTOMIZATION
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//test FAISS_IVFSQ8H optimizer
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index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8H;
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db_->CreateIndex(TABLE_NAME, index); // wait until build index finish
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@ -314,9 +315,7 @@ TEST_F(DBTest, SEARCH_TEST) {
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stat = db_->Query(TABLE_NAME, file_ids, k, nq, 10, xq.data(), dates, results);
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ASSERT_TRUE(stat.ok());
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}
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// TODO(lxj): add groundTruth assert
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#endif
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}
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TEST_F(DBTest, PRELOADTABLE_TEST) {
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@ -184,7 +184,7 @@ class ResourceAdvanceTest : public testing::Test {
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};
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TEST_F(ResourceAdvanceTest, DISK_RESOURCE_TEST) {
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const uint64_t NUM = 10;
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const uint64_t NUM = max_once_load;
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std::vector<std::shared_ptr<TestTask>> tasks;
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TableFileSchemaPtr dummy = nullptr;
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for (uint64_t i = 0; i < NUM; ++i) {
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@ -188,7 +188,7 @@ INSTANTIATE_TEST_CASE_P(WrapperParam, KnowhereWrapperTest,
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10,
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10),
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std::make_tuple(milvus::engine::IndexType::FAISS_IVFSQ8_CPU, "Default", DIM, NB, 10, 10),
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std::make_tuple(milvus::engine::IndexType::FAISS_IVFSQ8_GPU, "Default", DIM, NB, 10, 10),
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// std::make_tuple(milvus::engine::IndexType::FAISS_IVFSQ8_GPU, "Default", DIM, NB, 10, 10),
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std::make_tuple(milvus::engine::IndexType::FAISS_IVFSQ8_MIX, "Default", DIM, NB, 10, 10),
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// std::make_tuple(IndexType::NSG_MIX, "Default", 128, 250000, 10, 10),
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// std::make_tuple(IndexType::SPTAG_KDT_RNT_CPU, "Default", 128, 250000, 10, 10),
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