mirror of https://github.com/milvus-io/milvus.git
Merge pull request #608 from fishpenguin/0.6.0-yk-refactor-scheduler
NSG build failed using GPU-edition if set gpu_enable falsepull/629/head
commit
6f58f7550b
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@ -34,6 +34,7 @@ Please mark all change in change log and use the ticket from JIRA.
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- \#533 - NSG build failed with MetricType Inner Product
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- \#543 - client raise exception in shards when search results is empty
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- \#545 - Avoid dead circle of build index thread when error occurs
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- \#547 - NSG build failed using GPU-edition if set gpu_enable false
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- \#552 - Server down during building index_type: IVF_PQ using GPU-edition
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- \#561 - Milvus server should report exception/error message or terminate on mysql metadata backend error
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- \#599 - Build index log is incorrect
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@ -611,6 +611,9 @@ ExecutionEngineImpl::Init() {
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server::Config& config = server::Config::GetInstance();
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std::vector<int64_t> gpu_ids;
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Status s = config.GetGpuResourceConfigBuildIndexResources(gpu_ids);
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if (!s.ok()) {
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gpu_num_ = knowhere::INVALID_VALUE;
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}
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for (auto id : gpu_ids) {
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if (gpu_num_ == id) {
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return Status::OK();
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@ -1,6 +0,0 @@
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We manually change two APIs in "milvus.pb.h":
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add_vector_data()
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add_row_id_array()
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add_ids()
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add_distances()
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If proto files need be generated again, remember to re-change above APIs.
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@ -116,17 +116,28 @@ NSG::Train(const DatasetPtr& dataset, const Config& config) {
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}
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// TODO(linxj): dev IndexFactory, support more IndexType
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Graph knng;
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#ifdef MILVUS_GPU_VERSION
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auto preprocess_index = std::make_shared<GPUIVF>(build_cfg->gpu_id);
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if (build_cfg->gpu_id == knowhere::INVALID_VALUE) {
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auto preprocess_index = std::make_shared<IVF>();
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auto model = preprocess_index->Train(dataset, config);
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preprocess_index->set_index_model(model);
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preprocess_index->AddWithoutIds(dataset, config);
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preprocess_index->GenGraph(build_cfg->knng, knng, dataset, config);
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} else {
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auto preprocess_index = std::make_shared<GPUIVF>(build_cfg->gpu_id);
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auto model = preprocess_index->Train(dataset, config);
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preprocess_index->set_index_model(model);
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preprocess_index->AddWithoutIds(dataset, config);
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preprocess_index->GenGraph(build_cfg->knng, knng, dataset, config);
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}
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#else
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auto preprocess_index = std::make_shared<IVF>();
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#endif
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auto model = preprocess_index->Train(dataset, config);
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preprocess_index->set_index_model(model);
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preprocess_index->AddWithoutIds(dataset, config);
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Graph knng;
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preprocess_index->GenGraph(build_cfg->knng, knng, dataset, config);
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#endif
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algo::BuildParams b_params;
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b_params.candidate_pool_size = build_cfg->candidate_pool_size;
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@ -25,6 +25,7 @@
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#include "optimizer/BuildIndexPass.h"
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#include "optimizer/FaissFlatPass.h"
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#include "optimizer/FaissIVFFlatPass.h"
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#include "optimizer/FaissIVFPQPass.h"
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#include "optimizer/FaissIVFSQ8HPass.h"
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#include "optimizer/FaissIVFSQ8Pass.h"
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#include "optimizer/FallbackPass.h"
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@ -129,7 +130,10 @@ class OptimizerInst {
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pass_list.push_back(std::make_shared<FaissFlatPass>());
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pass_list.push_back(std::make_shared<FaissIVFFlatPass>());
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pass_list.push_back(std::make_shared<FaissIVFSQ8Pass>());
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#ifdef CUSTOMIZATION
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pass_list.push_back(std::make_shared<FaissIVFSQ8HPass>());
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#endif
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pass_list.push_back(std::make_shared<FaissIVFPQPass>());
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}
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#endif
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pass_list.push_back(std::make_shared<FallbackPass>());
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@ -0,0 +1,74 @@
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// Licensed to the Apache Software Foundation (ASF) under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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#ifdef MILVUS_GPU_VERSION
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#include "scheduler/optimizer/FaissIVFPQPass.h"
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#include "cache/GpuCacheMgr.h"
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#include "scheduler/SchedInst.h"
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#include "scheduler/Utils.h"
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#include "scheduler/task/SearchTask.h"
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#include "scheduler/tasklabel/SpecResLabel.h"
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#include "server/Config.h"
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#include "utils/Log.h"
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namespace milvus {
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namespace scheduler {
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void
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FaissIVFPQPass::Init() {
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#ifdef MILVUS_GPU_VERSION
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server::Config& config = server::Config::GetInstance();
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Status s = config.GetEngineConfigGpuSearchThreshold(threshold_);
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if (!s.ok()) {
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threshold_ = std::numeric_limits<int32_t>::max();
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}
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s = config.GetGpuResourceConfigSearchResources(gpus);
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if (!s.ok()) {
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throw;
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}
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#endif
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}
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bool
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FaissIVFPQPass::Run(const TaskPtr& task) {
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if (task->Type() != TaskType::SearchTask) {
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return false;
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}
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auto search_task = std::static_pointer_cast<XSearchTask>(task);
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if (search_task->file_->engine_type_ != (int)engine::EngineType::FAISS_PQ) {
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return false;
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}
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auto search_job = std::static_pointer_cast<SearchJob>(search_task->job_.lock());
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ResourcePtr res_ptr;
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if (search_job->nq() < threshold_) {
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SERVER_LOG_DEBUG << "FaissIVFPQPass: nq < gpu_search_threshold, specify cpu to search!";
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res_ptr = ResMgrInst::GetInstance()->GetResource("cpu");
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} else {
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auto best_device_id = count_ % gpus.size();
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SERVER_LOG_DEBUG << "FaissIVFPQPass: nq > gpu_search_threshold, specify gpu" << best_device_id << " to search!";
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count_++;
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res_ptr = ResMgrInst::GetInstance()->GetResource(ResourceType::GPU, gpus[best_device_id]);
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}
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auto label = std::make_shared<SpecResLabel>(res_ptr);
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task->label() = label;
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return true;
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}
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} // namespace scheduler
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} // namespace milvus
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#endif
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@ -0,0 +1,58 @@
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// Licensed to the Apache Software Foundation (ASF) under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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#ifdef MILVUS_GPU_VERSION
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#pragma once
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#include <condition_variable>
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#include <deque>
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#include <limits>
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#include <list>
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#include <memory>
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#include <mutex>
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#include <queue>
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#include <string>
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#include <thread>
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#include <unordered_map>
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#include <vector>
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#include "Pass.h"
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namespace milvus {
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namespace scheduler {
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class FaissIVFPQPass : public Pass {
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public:
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FaissIVFPQPass() = default;
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public:
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void
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Init() override;
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bool
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Run(const TaskPtr& task) override;
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private:
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int64_t threshold_ = std::numeric_limits<int64_t>::max();
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int64_t count_ = 0;
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std::vector<int64_t> gpus;
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};
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using FaissIVFPQPassPtr = std::shared_ptr<FaissIVFPQPass>;
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} // namespace scheduler
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} // namespace milvus
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#endif
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@ -39,8 +39,6 @@ void
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ConfAdapter::MatchBase(knowhere::Config conf) {
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if (conf->metric_type == knowhere::DEFAULT_TYPE)
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conf->metric_type = knowhere::METRICTYPE::L2;
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if (conf->gpu_id == knowhere::INVALID_VALUE)
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conf->gpu_id = 0;
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}
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knowhere::Config
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