FaissIVFFlatPass.cpp

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// to you under the Apache License, Version 2.0 (the
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//
//   http://www.apache.org/licenses/LICENSE-2.0
//
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#include "scheduler/optimizer/FaissIVFFlatPass.h"
#include "cache/GpuCacheMgr.h"
#include "scheduler/SchedInst.h"
#include "scheduler/Utils.h"
#include "scheduler/task/SearchTask.h"
#include "scheduler/tasklabel/SpecResLabel.h"
#include "server/Config.h"
#include "utils/Log.h"

namespace milvus {
namespace scheduler {

void
FaissIVFFlatPass::Init() {
    server::Config& config = server::Config::GetInstance();
    Status s = config.GetEngineConfigGpuSearchThreshold(threshold_);
    if (!s.ok()) {
        threshold_ = std::numeric_limits<int32_t>::max();
    }
    s = config.GetGpuResourceConfigSearchResources(gpus);
    if (!s.ok()) {
        throw;
    }
}

bool
FaissIVFFlatPass::Run(const TaskPtr& task) {
    if (task->Type() != TaskType::SearchTask) {
        return false;
    }

    auto search_task = std::static_pointer_cast<XSearchTask>(task);
    if (search_task->file_->engine_type_ != (int)engine::EngineType::FAISS_IVFFLAT) {
        return false;
    }

    auto search_job = std::static_pointer_cast<SearchJob>(search_task->job_.lock());
    ResourcePtr res_ptr;
    if (search_job->nq() < threshold_) {
        res_ptr = ResMgrInst::GetInstance()->GetResource("cpu");
    } else {
        auto best_device_id = count_ % gpus.size();
        count_++;
        res_ptr = ResMgrInst::GetInstance()->GetResource(ResourceType::GPU, best_device_id);
    }
    auto label = std::make_shared<SpecResLabel>(res_ptr);
    task->label() = label;
    return true;
}

}  // namespace scheduler
}  // namespace milvus