milvus/core/src/scheduler/action/PushTaskToNeighbour.cpp
Yu Kun 98e5830e14 Put union of index_build_device and search resources to gpu_pool
Former-commit-id: 8e8f3b081c3af8152cddb1c250a1261f475c7f8a
2019-10-18 17:45:29 +08:00

222 lines
8.7 KiB
C++

// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
#include <list>
#include <random>
#include "../Algorithm.h"
#include "Action.h"
#include "scheduler/tasklabel/SpecResLabel.h"
#include "src/cache/GpuCacheMgr.h"
#include "src/server/Config.h"
namespace milvus {
namespace scheduler {
std::vector<ResourcePtr>
get_neighbours(const ResourcePtr& self) {
std::vector<ResourcePtr> neighbours;
for (auto& neighbour_node : self->GetNeighbours()) {
auto node = neighbour_node.neighbour_node.lock();
if (not node)
continue;
auto resource = std::static_pointer_cast<Resource>(node);
// if (not resource->HasExecutor()) continue;
neighbours.emplace_back(resource);
}
return neighbours;
}
std::vector<std::pair<ResourcePtr, Connection>>
get_neighbours_with_connetion(const ResourcePtr& self) {
std::vector<std::pair<ResourcePtr, Connection>> neighbours;
for (auto& neighbour_node : self->GetNeighbours()) {
auto node = neighbour_node.neighbour_node.lock();
if (not node)
continue;
auto resource = std::static_pointer_cast<Resource>(node);
// if (not resource->HasExecutor()) continue;
Connection conn = neighbour_node.connection;
neighbours.emplace_back(std::make_pair(resource, conn));
}
return neighbours;
}
void
Action::PushTaskToNeighbourRandomly(const TaskPtr& task, const ResourcePtr& self) {
auto neighbours = get_neighbours_with_connetion(self);
if (not neighbours.empty()) {
std::vector<uint64_t> speeds;
uint64_t total_speed = 0;
for (auto& neighbour : neighbours) {
uint64_t speed = neighbour.second.speed();
speeds.emplace_back(speed);
total_speed += speed;
}
unsigned seed1 = std::chrono::system_clock::now().time_since_epoch().count();
std::mt19937 mt(seed1);
std::uniform_int_distribution<int> dist(0, total_speed);
uint64_t index = 0;
int64_t rd_speed = dist(mt);
for (uint64_t i = 0; i < speeds.size(); ++i) {
rd_speed -= speeds[i];
if (rd_speed <= 0) {
neighbours[i].first->task_table().Put(task);
return;
}
}
} else {
// TODO(wxyu): process
}
}
void
Action::PushTaskToAllNeighbour(const TaskPtr& task, const ResourcePtr& self) {
auto neighbours = get_neighbours(self);
for (auto& neighbour : neighbours) {
neighbour->task_table().Put(task);
}
}
void
Action::PushTaskToResource(const TaskPtr& task, const ResourcePtr& dest) {
dest->task_table().Put(task);
}
void
Action::DefaultLabelTaskScheduler(ResourceMgrWPtr res_mgr, ResourcePtr resource,
std::shared_ptr<LoadCompletedEvent> event) {
if (not resource->HasExecutor() && event->task_table_item_->Move()) {
auto task = event->task_table_item_->task;
auto search_task = std::static_pointer_cast<XSearchTask>(task);
bool moved = false;
// to support test task, REFACTOR
if (resource->type() == ResourceType::CPU) {
if (auto index_engine = search_task->index_engine_) {
auto location = index_engine->GetLocation();
for (auto i = 0; i < res_mgr.lock()->GetNumGpuResource(); ++i) {
auto index = milvus::cache::GpuCacheMgr::GetInstance(i)->GetIndex(location);
if (index != nullptr) {
moved = true;
auto dest_resource = res_mgr.lock()->GetResource(ResourceType::GPU, i);
PushTaskToResource(event->task_table_item_->task, dest_resource);
break;
}
}
}
}
if (not moved) {
PushTaskToNeighbourRandomly(task, resource);
}
}
}
void
Action::SpecifiedResourceLabelTaskScheduler(ResourceMgrWPtr res_mgr, ResourcePtr resource,
std::shared_ptr<LoadCompletedEvent> event) {
auto task = event->task_table_item_->task;
if (resource->type() == ResourceType::DISK) {
// step 1: calculate shortest path per resource, from disk to compute resource
auto compute_resources = res_mgr.lock()->GetComputeResources();
std::vector<std::vector<std::string>> paths;
std::vector<uint64_t> transport_costs;
for (auto& res : compute_resources) {
std::vector<std::string> path;
uint64_t transport_cost = ShortestPath(resource, res, res_mgr.lock(), path);
transport_costs.push_back(transport_cost);
paths.emplace_back(path);
}
// if (task->job_.lock()->type() == JobType::SEARCH) {
// auto label = task->label();
// auto spec_label = std::static_pointer_cast<SpecResLabel>(label);
// if (spec_label->resource().lock()->type() == ResourceType::CPU) {
// std::vector<std::string> spec_path;
// spec_path.push_back(spec_label->resource().lock()->name());
// spec_path.push_back(resource->name());
// task->path() = Path(spec_path, spec_path.size() - 1);
// } else {
// // step 2: select min cost, cost(resource) = avg_cost * task_to_do + transport_cost
// uint64_t min_cost = std::numeric_limits<uint64_t>::max();
// uint64_t min_cost_idx = 0;
// for (uint64_t i = 0; i < compute_resources.size(); ++i) {
// if (compute_resources[i]->TotalTasks() == 0) {
// min_cost_idx = i;
// break;
// }
// uint64_t cost = compute_resources[i]->TaskAvgCost() *
// compute_resources[i]->NumOfTaskToExec() +
// transport_costs[i];
// if (min_cost > cost) {
// min_cost = cost;
// min_cost_idx = i;
// }
// }
//
// // step 3: set path in task
// Path task_path(paths[min_cost_idx], paths[min_cost_idx].size() - 1);
// task->path() = task_path;
// }
//
// } else
if (task->job_.lock()->type() == JobType::BUILD) {
// step2: Read device id in config
// get build index gpu resource
server::Config& config = server::Config::GetInstance();
int32_t build_index_gpu;
Status stat = config.GetResourceConfigIndexBuildDevice(build_index_gpu);
bool find_gpu_res = false;
if (res_mgr.lock()->GetResource(ResourceType::GPU, build_index_gpu) != nullptr) {
for (uint64_t i = 0; i < compute_resources.size(); ++i) {
if (compute_resources[i]->name() ==
res_mgr.lock()->GetResource(ResourceType::GPU, build_index_gpu)->name()) {
find_gpu_res = true;
Path task_path(paths[i], paths[i].size() - 1);
task->path() = task_path;
break;
}
}
}
if (not find_gpu_res) {
task->path() = Path(paths[0], paths[0].size() - 1);
}
}
}
if (resource->name() == task->path().Last()) {
resource->WakeupExecutor();
} else {
auto next_res_name = task->path().Next();
auto next_res = res_mgr.lock()->GetResource(next_res_name);
// if (event->task_table_item_->Move()) {
// next_res->task_table().Put(task);
// }
event->task_table_item_->Move();
next_res->task_table().Put(task);
}
}
} // namespace scheduler
} // namespace milvus