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https://gitee.com/milvus-io/milvus.git
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004bd81ac8
Former-commit-id: 4496b80869e6be02b8fbbe92a3ab08f8bf763acf
293 lines
8.8 KiB
C++
293 lines
8.8 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 "scheduler/resource/Resource.h"
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#include "scheduler/resource/DiskResource.h"
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#include "scheduler/resource/CpuResource.h"
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#include "scheduler/resource/GpuResource.h"
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#include "scheduler/resource/TestResource.h"
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#include "scheduler/task/Task.h"
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#include "scheduler/task/TestTask.h"
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#include "scheduler/tasklabel/DefaultLabel.h"
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#include "scheduler/ResourceFactory.h"
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#include <gtest/gtest.h>
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namespace milvus {
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namespace scheduler {
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constexpr uint64_t max_once_load = 2;
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/************ ResourceBaseTest ************/
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class ResourceBaseTest : public testing::Test {
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protected:
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void
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SetUp() override {
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only_loader_ = std::make_shared<DiskResource>(name1, id1, true, false);
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only_executor_ = std::make_shared<CpuResource>(name2, id2, false, true);
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both_enable_ = std::make_shared<GpuResource>(name3, id3, true, true);
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both_disable_ = std::make_shared<TestResource>(name4, id4, false, false);
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}
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const std::string name1 = "only_loader_";
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const std::string name2 = "only_executor_";
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const std::string name3 = "both_enable_";
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const std::string name4 = "both_disable_";
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const uint64_t id1 = 1;
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const uint64_t id2 = 2;
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const uint64_t id3 = 3;
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const uint64_t id4 = 4;
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ResourcePtr only_loader_ = nullptr;
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ResourcePtr only_executor_ = nullptr;
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ResourcePtr both_enable_ = nullptr;
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ResourcePtr both_disable_ = nullptr;
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};
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TEST_F(ResourceBaseTest, NAME) {
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ASSERT_EQ(only_loader_->name(), name1);
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ASSERT_EQ(only_executor_->name(), name2);
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ASSERT_EQ(both_enable_->name(), name3);
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ASSERT_EQ(both_disable_->name(), name4);
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}
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TEST_F(ResourceBaseTest, TYPE) {
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ASSERT_EQ(only_loader_->type(), ResourceType::DISK);
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ASSERT_EQ(only_executor_->type(), ResourceType::CPU);
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ASSERT_EQ(both_enable_->type(), ResourceType::GPU);
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ASSERT_EQ(both_disable_->type(), ResourceType::TEST);
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}
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TEST_F(ResourceBaseTest, DEVICE_ID) {
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ASSERT_EQ(only_loader_->device_id(), id1);
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ASSERT_EQ(only_executor_->device_id(), id2);
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ASSERT_EQ(both_enable_->device_id(), id3);
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ASSERT_EQ(both_disable_->device_id(), id4);
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}
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TEST_F(ResourceBaseTest, HAS_LOADER) {
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ASSERT_TRUE(only_loader_->HasLoader());
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ASSERT_FALSE(only_executor_->HasLoader());
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ASSERT_TRUE(both_enable_->HasLoader());
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ASSERT_FALSE(both_disable_->HasLoader());
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}
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TEST_F(ResourceBaseTest, HAS_EXECUTOR) {
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ASSERT_FALSE(only_loader_->HasExecutor());
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ASSERT_TRUE(only_executor_->HasExecutor());
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ASSERT_TRUE(both_enable_->HasExecutor());
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ASSERT_FALSE(both_disable_->HasExecutor());
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}
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TEST_F(ResourceBaseTest, DUMP) {
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ASSERT_FALSE(only_loader_->Dump().empty());
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ASSERT_FALSE(only_executor_->Dump().empty());
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ASSERT_FALSE(both_enable_->Dump().empty());
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ASSERT_FALSE(both_disable_->Dump().empty());
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std::cout << *only_loader_ << *only_executor_ << *both_enable_ << *both_disable_;
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}
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/************ ResourceAdvanceTest ************/
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class ResourceAdvanceTest : public testing::Test {
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protected:
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void
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SetUp() override {
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disk_resource_ = ResourceFactory::Create("ssd", "DISK", 0);
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cpu_resource_ = ResourceFactory::Create("cpu", "CPU", 0);
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gpu_resource_ = ResourceFactory::Create("gpu", "GPU", 0);
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test_resource_ = std::make_shared<TestResource>("test", 0, true, true);
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resources_.push_back(disk_resource_);
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resources_.push_back(cpu_resource_);
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resources_.push_back(gpu_resource_);
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resources_.push_back(test_resource_);
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auto subscriber = [&](EventPtr event) {
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if (event->Type() == EventType::LOAD_COMPLETED) {
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{
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std::lock_guard<std::mutex> lock(load_mutex_);
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++load_count_;
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}
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cv_.notify_one();
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}
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if (event->Type() == EventType::FINISH_TASK) {
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{
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std::lock_guard<std::mutex> lock(load_mutex_);
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++exec_count_;
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}
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cv_.notify_one();
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}
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};
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disk_resource_->RegisterSubscriber(subscriber);
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cpu_resource_->RegisterSubscriber(subscriber);
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gpu_resource_->RegisterSubscriber(subscriber);
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test_resource_->RegisterSubscriber(subscriber);
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disk_resource_->Start();
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cpu_resource_->Start();
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gpu_resource_->Start();
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test_resource_->Start();
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}
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void
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TearDown() override {
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disk_resource_->Stop();
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cpu_resource_->Stop();
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gpu_resource_->Stop();
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test_resource_->Stop();
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}
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void
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WaitLoader(uint64_t count) {
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std::unique_lock<std::mutex> lock(load_mutex_);
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cv_.wait(lock, [&] {
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return load_count_ == count;
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});
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}
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void
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WaitExecutor(uint64_t count) {
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std::unique_lock<std::mutex> lock(exec_mutex_);
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cv_.wait(lock, [&] {
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return exec_count_ == count;
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});
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}
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ResourcePtr disk_resource_;
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ResourcePtr cpu_resource_;
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ResourcePtr gpu_resource_;
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ResourcePtr test_resource_;
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std::vector<ResourcePtr> resources_;
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uint64_t load_count_ = 0;
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uint64_t exec_count_ = 0;
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std::mutex load_mutex_;
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std::mutex exec_mutex_;
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std::condition_variable cv_;
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};
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TEST_F(ResourceAdvanceTest, DISK_RESOURCE_TEST) {
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const uint64_t NUM = max_once_load;
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std::vector<std::shared_ptr<TestTask>> tasks;
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TableFileSchemaPtr dummy = nullptr;
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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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tasks.push_back(task);
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disk_resource_->task_table().Put(task);
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}
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disk_resource_->WakeupLoader();
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WaitLoader(NUM);
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for (uint64_t i = 0; i < NUM; ++i) {
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ASSERT_EQ(tasks[i]->load_count_, 0);
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}
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disk_resource_->WakeupExecutor();
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WaitExecutor(NUM);
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for (uint64_t i = 0; i < NUM; ++i) {
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ASSERT_EQ(tasks[i]->exec_count_, 0);
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}
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}
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TEST_F(ResourceAdvanceTest, CPU_RESOURCE_TEST) {
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const uint64_t NUM = max_once_load;
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std::vector<std::shared_ptr<TestTask>> tasks;
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TableFileSchemaPtr dummy = nullptr;
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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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tasks.push_back(task);
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cpu_resource_->task_table().Put(task);
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}
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cpu_resource_->WakeupLoader();
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WaitLoader(NUM);
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for (uint64_t i = 0; i < NUM; ++i) {
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ASSERT_EQ(tasks[i]->load_count_, 1);
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}
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cpu_resource_->WakeupExecutor();
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WaitExecutor(NUM);
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for (uint64_t i = 0; i < NUM; ++i) {
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ASSERT_EQ(tasks[i]->exec_count_, 1);
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}
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}
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TEST_F(ResourceAdvanceTest, GPU_RESOURCE_TEST) {
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const uint64_t NUM = max_once_load;
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std::vector<std::shared_ptr<TestTask>> tasks;
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TableFileSchemaPtr dummy = nullptr;
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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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tasks.push_back(task);
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gpu_resource_->task_table().Put(task);
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}
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gpu_resource_->WakeupLoader();
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WaitLoader(NUM);
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for (uint64_t i = 0; i < NUM; ++i) {
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ASSERT_EQ(tasks[i]->load_count_, 1);
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}
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gpu_resource_->WakeupExecutor();
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WaitExecutor(NUM);
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for (uint64_t i = 0; i < NUM; ++i) {
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ASSERT_EQ(tasks[i]->exec_count_, 1);
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}
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}
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TEST_F(ResourceAdvanceTest, TEST_RESOURCE_TEST) {
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const uint64_t NUM = max_once_load;
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std::vector<std::shared_ptr<TestTask>> tasks;
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TableFileSchemaPtr dummy = nullptr;
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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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tasks.push_back(task);
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test_resource_->task_table().Put(task);
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}
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test_resource_->WakeupLoader();
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WaitLoader(NUM);
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for (uint64_t i = 0; i < NUM; ++i) {
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ASSERT_EQ(tasks[i]->load_count_, 1);
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}
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test_resource_->WakeupExecutor();
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WaitExecutor(NUM);
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for (uint64_t i = 0; i < NUM; ++i) {
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ASSERT_EQ(tasks[i]->exec_count_, 1);
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}
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}
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} // namespace scheduler
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} // namespace milvus
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