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https://gitee.com/milvus-io/milvus.git
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263 lines
8.4 KiB
C++
263 lines
8.4 KiB
C++
// 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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#include <gtest/gtest.h>
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#include "scheduler/Scheduler.h"
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#include "scheduler/tasklabel/DefaultLabel.h"
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#include "scheduler/tasklabel/SpecResLabel.h"
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#include "scheduler/task/TestTask.h"
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#include "scheduler/ResourceFactory.h"
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#include "scheduler/resource/Resource.h"
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#include "cache/DataObj.h"
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#include "cache/GpuCacheMgr.h"
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#include "utils/Error.h"
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#include "wrapper/VecIndex.h"
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namespace milvus {
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namespace scheduler {
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class MockVecIndex : public engine::VecIndex {
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public:
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virtual Status BuildAll(const int64_t& nb,
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const float* xb,
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const int64_t* ids,
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const engine::Config& cfg,
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const int64_t& nt = 0,
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const float* xt = nullptr) {
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}
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engine::VecIndexPtr Clone() override {
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return milvus::engine::VecIndexPtr();
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}
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int64_t GetDeviceId() override {
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return 0;
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}
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engine::IndexType GetType() override {
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return engine::IndexType::INVALID;
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}
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virtual Status Add(const int64_t& nb,
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const float* xb,
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const int64_t* ids,
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const engine::Config& cfg = engine::Config()) {
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}
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virtual Status Search(const int64_t& nq,
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const float* xq,
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float* dist,
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int64_t* ids,
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const engine::Config& cfg = engine::Config()) {
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}
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engine::VecIndexPtr CopyToGpu(const int64_t& device_id, const engine::Config& cfg) override {
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}
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engine::VecIndexPtr CopyToCpu(const engine::Config& cfg) override {
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}
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virtual int64_t Dimension() {
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return dimension_;
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}
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virtual int64_t Count() {
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return ntotal_;
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}
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virtual knowhere::BinarySet Serialize() {
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knowhere::BinarySet binset;
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return binset;
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}
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virtual Status Load(const knowhere::BinarySet& index_binary) {
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}
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public:
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int64_t dimension_ = 512;
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int64_t ntotal_ = 0;
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};
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class SchedulerTest : public testing::Test {
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protected:
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void
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SetUp() override {
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constexpr int64_t cache_cap = 1024 * 1024 * 1024;
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cache::GpuCacheMgr::GetInstance(0)->SetCapacity(cache_cap);
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cache::GpuCacheMgr::GetInstance(1)->SetCapacity(cache_cap);
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ResourcePtr disk = ResourceFactory::Create("disk", "DISK", 0, true, false);
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ResourcePtr cpu = ResourceFactory::Create("cpu", "CPU", 0, true, false);
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ResourcePtr gpu_0 = ResourceFactory::Create("gpu0", "GPU", 0);
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ResourcePtr gpu_1 = ResourceFactory::Create("gpu1", "GPU", 1);
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res_mgr_ = std::make_shared<ResourceMgr>();
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disk_resource_ = res_mgr_->Add(std::move(disk));
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cpu_resource_ = res_mgr_->Add(std::move(cpu));
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gpu_resource_0_ = res_mgr_->Add(std::move(gpu_0));
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gpu_resource_1_ = res_mgr_->Add(std::move(gpu_1));
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auto PCIE = Connection("IO", 11000.0);
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res_mgr_->Connect("cpu", "gpu0", PCIE);
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res_mgr_->Connect("cpu", "gpu1", PCIE);
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scheduler_ = std::make_shared<Scheduler>(res_mgr_);
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res_mgr_->Start();
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scheduler_->Start();
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}
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void
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TearDown() override {
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scheduler_->Stop();
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res_mgr_->Stop();
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}
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ResourceWPtr disk_resource_;
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ResourceWPtr cpu_resource_;
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ResourceWPtr gpu_resource_0_;
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ResourceWPtr gpu_resource_1_;
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ResourceMgrPtr res_mgr_;
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std::shared_ptr<Scheduler> scheduler_;
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};
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void
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insert_dummy_index_into_gpu_cache(uint64_t device_id) {
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MockVecIndex* mock_index = new MockVecIndex();
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mock_index->ntotal_ = 1000;
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engine::VecIndexPtr index(mock_index);
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cache::DataObjPtr obj = std::static_pointer_cast<cache::DataObj>(index);
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cache::GpuCacheMgr::GetInstance(device_id)->InsertItem("location", obj);
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}
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TEST_F(SchedulerTest, ON_LOAD_COMPLETED) {
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const uint64_t NUM = 10;
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std::vector<std::shared_ptr<TestTask>> tasks;
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TableFileSchemaPtr dummy = std::make_shared<TableFileSchema>();
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dummy->location_ = "location";
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insert_dummy_index_into_gpu_cache(1);
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for (uint64_t i = 0; i < NUM; ++i) {
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auto label = std::make_shared<DefaultLabel>();
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auto task = std::make_shared<TestTask>(dummy, label);
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task->label() = std::make_shared<DefaultLabel>();
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tasks.push_back(task);
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cpu_resource_.lock()->task_table().Put(task);
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}
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sleep(3);
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ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
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}
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TEST_F(SchedulerTest, PUSH_TASK_TO_NEIGHBOUR_RANDOMLY_TEST) {
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const uint64_t NUM = 10;
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std::vector<std::shared_ptr<TestTask>> tasks;
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TableFileSchemaPtr dummy1 = std::make_shared<TableFileSchema>();
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dummy1->location_ = "location";
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tasks.clear();
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for (uint64_t i = 0; i < NUM; ++i) {
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auto label = std::make_shared<DefaultLabel>();
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auto task = std::make_shared<TestTask>(dummy1, label);
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task->label() = std::make_shared<DefaultLabel>();
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tasks.push_back(task);
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cpu_resource_.lock()->task_table().Put(task);
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}
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sleep(3);
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// ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
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}
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class SchedulerTest2 : public testing::Test {
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protected:
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void
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SetUp() override {
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ResourcePtr disk = ResourceFactory::Create("disk", "DISK", 0, true, false);
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ResourcePtr cpu0 = ResourceFactory::Create("cpu0", "CPU", 0, true, false);
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ResourcePtr cpu1 = ResourceFactory::Create("cpu1", "CPU", 1, true, false);
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ResourcePtr cpu2 = ResourceFactory::Create("cpu2", "CPU", 2, true, false);
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ResourcePtr gpu0 = ResourceFactory::Create("gpu0", "GPU", 0, true, true);
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ResourcePtr gpu1 = ResourceFactory::Create("gpu1", "GPU", 1, true, true);
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res_mgr_ = std::make_shared<ResourceMgr>();
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disk_ = res_mgr_->Add(std::move(disk));
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cpu_0_ = res_mgr_->Add(std::move(cpu0));
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cpu_1_ = res_mgr_->Add(std::move(cpu1));
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cpu_2_ = res_mgr_->Add(std::move(cpu2));
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gpu_0_ = res_mgr_->Add(std::move(gpu0));
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gpu_1_ = res_mgr_->Add(std::move(gpu1));
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auto IO = Connection("IO", 5.0);
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auto PCIE1 = Connection("PCIE", 11.0);
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auto PCIE2 = Connection("PCIE", 20.0);
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res_mgr_->Connect("disk", "cpu0", IO);
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res_mgr_->Connect("cpu0", "cpu1", IO);
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res_mgr_->Connect("cpu1", "cpu2", IO);
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res_mgr_->Connect("cpu0", "cpu2", IO);
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res_mgr_->Connect("cpu1", "gpu0", PCIE1);
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res_mgr_->Connect("cpu2", "gpu1", PCIE2);
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scheduler_ = std::make_shared<Scheduler>(res_mgr_);
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res_mgr_->Start();
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scheduler_->Start();
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}
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void
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TearDown() override {
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scheduler_->Stop();
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res_mgr_->Stop();
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res_mgr_->Clear();
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}
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ResourceWPtr disk_;
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ResourceWPtr cpu_0_;
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ResourceWPtr cpu_1_;
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ResourceWPtr cpu_2_;
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ResourceWPtr gpu_0_;
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ResourceWPtr gpu_1_;
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ResourceMgrPtr res_mgr_;
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std::shared_ptr<Scheduler> scheduler_;
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};
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//TEST_F(SchedulerTest2, SPECIFIED_RESOURCE_TEST) {
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// const uint64_t NUM = 2;
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// std::vector<std::shared_ptr<TestTask>> tasks;
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// TableFileSchemaPtr dummy = std::make_shared<TableFileSchema>();
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// dummy->location_ = "location";
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//
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// for (uint64_t i = 0; i < NUM; ++i) {
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// auto label = std::make_shared<DefaultLabel>();
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// std::shared_ptr<TestTask> task = std::make_shared<TestTask>(dummy, label);
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// task->label() = std::make_shared<SpecResLabel>(disk_);
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// tasks.push_back(task);
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// disk_.lock()->task_table().Put(task);
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// }
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// ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
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//}
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} // namespace scheduler
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} // namespace milvus
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