mirror of https://github.com/milvus-io/milvus.git
parent
87b80491d9
commit
85b136b364
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@ -5,12 +5,13 @@ Please mark all change in change log and use the ticket from JIRA.
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# Milvus 0.5.1 (TODO)
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## Bug
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- \#161 - Search IVFSQHybrid crash on gpu
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## Feature
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- \#90 - The server start error messages could be improved to enhance user experience
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- \#104 - test_scheduler core dump
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- \#115 - Using new structure for tasktable
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- \#139 - New config opion use_gpu_threshold
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- \#139 - New config option use_gpu_threshold
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## Improvement
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- \#64 - Improvement dump function in scheduler
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@ -256,6 +256,7 @@ ExecutionEngineImpl::Load(bool to_cache) {
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Status
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ExecutionEngineImpl::CopyToGpu(uint64_t device_id, bool hybrid) {
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#if 0
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if (hybrid) {
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const std::string key = location_ + ".quantizer";
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std::vector<uint64_t> gpus = scheduler::get_gpu_pool();
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@ -307,6 +308,7 @@ ExecutionEngineImpl::CopyToGpu(uint64_t device_id, bool hybrid) {
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}
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return Status::OK();
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}
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#endif
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auto index = std::static_pointer_cast<VecIndex>(cache::GpuCacheMgr::GetInstance(device_id)->GetIndex(location_));
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bool already_in_cache = (index != nullptr);
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@ -84,22 +84,14 @@ IVFSQHybrid::CopyGpuToCpu(const Config& config) {
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VectorIndexPtr
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IVFSQHybrid::CopyCpuToGpu(const int64_t& device_id, const Config& config) {
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if (gpu_mode != 0) {
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KNOWHERE_THROW_MSG("Not a GpuIndex Type");
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}
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if (auto res = FaissGpuResourceMgr::GetInstance().GetRes(device_id)) {
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ResScope rs(res, device_id, false);
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faiss::gpu::GpuClonerOptions option;
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option.allInGpu = true;
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faiss::IndexComposition index_composition;
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index_composition.index = index_.get();
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index_composition.quantizer = nullptr;
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index_composition.mode = 0; // copy all
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auto gpu_index = faiss::gpu::index_cpu_to_gpu(res->faiss_res.get(), device_id, &index_composition, &option);
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auto idx = dynamic_cast<faiss::IndexIVF*>(index_.get());
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idx->restore_quantizer();
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auto gpu_index = faiss::gpu::index_cpu_to_gpu(res->faiss_res.get(), device_id, index_.get(), &option);
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std::shared_ptr<faiss::Index> device_index = std::shared_ptr<faiss::Index>(gpu_index);
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auto new_idx = std::make_shared<IVFSQHybrid>(device_index, device_id, res);
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return new_idx;
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@ -119,9 +111,9 @@ IVFSQHybrid::LoadImpl(const BinarySet& index_binary) {
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void
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IVFSQHybrid::search_impl(int64_t n, const float* data, int64_t k, float* distances, int64_t* labels,
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const Config& cfg) {
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// std::lock_guard<std::mutex> lk(g_mutex);
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// static int64_t search_count;
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// ++search_count;
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// std::lock_guard<std::mutex> lk(g_mutex);
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// static int64_t search_count;
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// ++search_count;
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if (gpu_mode == 2) {
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GPUIVF::search_impl(n, data, k, distances, labels, cfg);
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@ -213,6 +213,10 @@ TEST_P(IVFTest, clone_test) {
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}
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}
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if (index_type == "IVFSQHybrid") {
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return;
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}
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{
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// copy to gpu
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std::vector<std::string> support_idx_vec{"IVF", "GPUIVF", "IVFSQ", "GPUIVFSQ"};
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