提交 8574b8b9 编写于 作者: Y Yukikaze-CZR 提交者: Jin Hai

add code coverage rate and fix #670 (#693)

上级 d82c7da6
......@@ -295,61 +295,5 @@ FaissIVFQuantizer::~FaissIVFQuantizer() {
// else do nothing
}
#else
QuantizerPtr
IVFSQHybrid::LoadQuantizer(const Config& conf) {
return knowhere::QuantizerPtr();
}
void
IVFSQHybrid::SetQuantizer(const QuantizerPtr& q) {
}
void
IVFSQHybrid::UnsetQuantizer() {
}
VectorIndexPtr
IVFSQHybrid::LoadData(const knowhere::QuantizerPtr& q, const Config& conf) {
return nullptr;
}
std::pair<VectorIndexPtr, QuantizerPtr>
IVFSQHybrid::CopyCpuToGpuWithQuantizer(const int64_t& device_id, const Config& config) {
KNOWHERE_THROW_MSG("Not yet implemented");
}
IndexModelPtr
IVFSQHybrid::Train(const DatasetPtr& dataset, const Config& config) {
return GPUIVFSQ::Train(dataset, config);
}
VectorIndexPtr
IVFSQHybrid::CopyGpuToCpu(const Config& config) {
return GPUIVFSQ::CopyGpuToCpu(config);
}
VectorIndexPtr
IVFSQHybrid::CopyCpuToGpu(const int64_t& device_id, const Config& config) {
return IVF::CopyCpuToGpu(device_id, config);
}
void
IVFSQHybrid::search_impl(int64_t n, const float* data, int64_t k, float* distances, int64_t* labels,
const Config& cfg) {
GPUIVF::search_impl(n, data, k, distances, labels, cfg);
}
void
IVFSQHybrid::LoadImpl(const BinarySet& index_binary) {
GPUIVF::LoadImpl(index_binary);
}
void
IVFSQHybrid::set_index_model(IndexModelPtr model) {
GPUIVF::set_index_model(model);
}
#endif
} // namespace knowhere
......@@ -36,7 +36,6 @@ struct FaissIVFQuantizer : public Quantizer {
~FaissIVFQuantizer() override;
};
using FaissIVFQuantizerPtr = std::shared_ptr<FaissIVFQuantizer>;
#endif
class IVFSQHybrid : public GPUIVFSQ {
public:
......@@ -93,5 +92,6 @@ class IVFSQHybrid : public GPUIVFSQ {
int64_t gpu_mode = 0; // 0,1,2
int64_t quantizer_gpu_id_ = -1;
};
#endif
} // namespace knowhere
......@@ -38,9 +38,11 @@ CopyGpuToCpu(const VectorIndexPtr& index, const Config& config) {
VectorIndexPtr
CopyCpuToGpu(const VectorIndexPtr& index, const int64_t& device_id, const Config& config) {
#ifdef CUSTOMIZATION
if (auto device_index = std::dynamic_pointer_cast<IVFSQHybrid>(index)) {
return device_index->CopyCpuToGpu(device_id, config);
}
#endif
if (auto device_index = std::dynamic_pointer_cast<GPUIndex>(index)) {
return device_index->CopyGpuToGpu(device_id, config);
......
......@@ -53,8 +53,10 @@ IndexFactory(const std::string& type) {
return std::make_shared<knowhere::GPUIVFPQ>(DEVICEID);
} else if (type == "GPUIVFSQ") {
return std::make_shared<knowhere::GPUIVFSQ>(DEVICEID);
#ifdef CUSTOMIZATION
} else if (type == "IVFSQHybrid") {
return std::make_shared<knowhere::IVFSQHybrid>(DEVICEID);
#endif
#endif
}
}
......
......@@ -73,6 +73,7 @@ IVFMixIndex::Load(const knowhere::BinarySet& index_binary) {
return Status::OK();
}
#ifdef CUSTOMIZATION
knowhere::QuantizerPtr
IVFHybridIndex::LoadQuantizer(const Config& conf) {
// TODO(linxj): Hardcode here
......@@ -158,6 +159,7 @@ IVFHybridIndex::CopyToGpuWithQuantizer(const int64_t& device_id, const Config& c
}
return std::make_pair(nullptr, nullptr);
}
#endif
} // namespace engine
} // namespace milvus
......@@ -351,6 +351,19 @@ TEST_F(DBTest, SEARCH_TEST) {
ASSERT_TRUE(stat.ok());
}
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_PQ;
db_->CreateIndex(TABLE_NAME, index); // wait until build index finish
{
std::vector<std::string> tags;
milvus::engine::ResultIds result_ids;
milvus::engine::ResultDistances result_distances;
stat = db_->Query(TABLE_NAME, tags, k, nq, 10, xq.data(), result_ids, result_distances);
ASSERT_TRUE(stat.ok());
stat = db_->Query(TABLE_NAME, tags, k, 1100, 10, xq.data(), result_ids, result_distances);
ASSERT_TRUE(stat.ok());
}
#ifdef CUSTOMIZATION
// test FAISS_IVFSQ8H optimizer
index.engine_type_ = (int)milvus::engine::EngineType::FAISS_IVFSQ8H;
......@@ -375,7 +388,13 @@ TEST_F(DBTest, SEARCH_TEST) {
{ // search by specify index file
milvus::engine::meta::DatesT dates;
std::vector<std::string> file_ids = {"1", "2", "3", "4", "5", "6"};
std::vector<std::string> file_ids;
// sometimes this case run fast to merge file and build index, old file will be deleted immediately,
// so the QueryByFileID cannot get files to search
// input 100 files ids to avoid random failure of this case
for (int i = 0; i < 100; i++) {
file_ids.push_back(std::to_string(i));
}
result_ids.clear();
result_dists.clear();
stat = db_->QueryByFileID(TABLE_NAME, file_ids, k, nq, 10, xq.data(), dates, result_ids, result_dists);
......
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