提交 7ed52edd 编写于 作者: W wxyu

MS-517 Update resource_mgr_test in scheduler


Former-commit-id: 1ec8d4869bb1d863a2bd98d64180d19a77f3313b
上级 18dd06d0
......@@ -98,6 +98,7 @@ Please mark all change in change log and use the ticket from JIRA.
- MS-505 - Install core unit test and add to coverage
- MS-508 - Update normal_test in scheduler
- MS-511 - Update resource_test in scheduler
- MS-517 - Update resource_mgr_test in scheduler
## New Feature
- MS-343 - Implement ResourceMgr
......
......@@ -59,7 +59,7 @@ ResourceMgr::Add(ResourcePtr &&resource) {
return ret;
}
void
bool
ResourceMgr::Connect(const std::string &name1, const std::string &name2, Connection &connection) {
auto res1 = GetResource(name1);
auto res2 = GetResource(name2);
......@@ -67,7 +67,9 @@ ResourceMgr::Connect(const std::string &name1, const std::string &name2, Connect
res1->AddNeighbour(std::static_pointer_cast<Node>(res2), connection);
// TODO: enable when task balance supported
// res2->AddNeighbour(std::static_pointer_cast<Node>(res1), connection);
return true;
}
return false;
}
void
......@@ -78,7 +80,7 @@ ResourceMgr::Clear() {
}
std::vector<ResourcePtr>
ResourceMgr::GetComputeResource() {
ResourceMgr::GetComputeResources() {
std::vector<ResourcePtr> result;
for (auto &resource : resources_) {
if (resource->HasExecutor()) {
......@@ -109,7 +111,12 @@ ResourceMgr::GetResource(const std::string &name) {
}
uint64_t
ResourceMgr::GetNumOfComputeResource() {
ResourceMgr::GetNumOfResource() const {
return resources_.size();
}
uint64_t
ResourceMgr::GetNumOfComputeResource() const {
uint64_t count = 0;
for (auto &res : resources_) {
if (res->HasExecutor()) {
......
......@@ -35,7 +35,7 @@ public:
ResourceWPtr
Add(ResourcePtr &&resource);
void
bool
Connect(const std::string &res1, const std::string &res2, Connection &connection);
void
......@@ -60,7 +60,7 @@ public:
}
std::vector<ResourcePtr>
GetComputeResource();
GetComputeResources();
ResourcePtr
GetResource(ResourceType type, uint64_t device_id);
......@@ -69,7 +69,10 @@ public:
GetResource(const std::string &name);
uint64_t
GetNumOfComputeResource();
GetNumOfResource() const;
uint64_t
GetNumOfComputeResource() const;
uint64_t
GetNumGpuResource() const;
......
......@@ -151,7 +151,7 @@ Scheduler::OnLoadCompleted(const EventPtr &event) {
// if this resource is disk, assign it to smallest cost resource
if (self->type() == ResourceType::DISK) {
// step 1: calculate shortest path per resource, from disk to compute resource
auto compute_resources = res_mgr_.lock()->GetComputeResource();
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) {
......
......@@ -46,5 +46,5 @@ add_subdirectory(server)
add_subdirectory(db)
add_subdirectory(knowhere)
add_subdirectory(metrics)
#add_subdirectory(scheduler)
add_subdirectory(scheduler)
#add_subdirectory(storage)
\ No newline at end of file
......@@ -11,7 +11,7 @@
using namespace zilliz::milvus::engine;
TEST(normal_test, inst_test) {
TEST(normal_test, DISABLED_inst_test) {
// ResourceMgr only compose resources, provide unified event
auto res_mgr = ResMgrInst::GetInstance();
......
/*******************************************************************************
* Copyright 上海赜睿信息科技有限公司(Zilliz) - All Rights Reserved
* Unauthorized copying of this file, via any medium is strictly prohibited.
* Proprietary and confidential.
******************************************************************************/
#include "scheduler/resource/CpuResource.h"
#include "scheduler/resource/GpuResource.h"
#include "scheduler/resource/DiskResource.h"
#include "scheduler/resource/TestResource.h"
#include "scheduler/task/TestTask.h"
#include "scheduler/ResourceMgr.h"
#include <gtest/gtest.h>
namespace zilliz {
namespace milvus {
namespace engine {
/************ ResourceMgrBaseTest ************/
class ResourceMgrBaseTest : public testing::Test {
protected:
void
SetUp() override {
empty_mgr_ = std::make_shared<ResourceMgr>();
mgr1_ = std::make_shared<ResourceMgr>();
disk_res = std::make_shared<DiskResource>("disk", 0, true, false);
cpu_res = std::make_shared<CpuResource>("cpu", 1, true, false);
gpu_res = std::make_shared<GpuResource>("gpu", 2, true, true);
mgr1_->Add(ResourcePtr(disk_res));
mgr1_->Add(ResourcePtr(cpu_res));
mgr1_->Add(ResourcePtr(gpu_res));
}
void
TearDown() override {
}
ResourceMgrPtr empty_mgr_;
ResourceMgrPtr mgr1_;
ResourcePtr disk_res;
ResourcePtr cpu_res;
ResourcePtr gpu_res;
};
TEST_F(ResourceMgrBaseTest, add) {
auto resource = std::make_shared<TestResource>("test", 0, true, true);
auto ret = empty_mgr_->Add(ResourcePtr(resource));
ASSERT_EQ(ret.lock(), resource);
}
TEST_F(ResourceMgrBaseTest, add_disk) {
auto resource = std::make_shared<DiskResource>("disk", 0, true, true);
auto ret = empty_mgr_->Add(ResourcePtr(resource));
ASSERT_EQ(ret.lock(), resource);
}
TEST_F(ResourceMgrBaseTest, connect) {
auto resource1 = std::make_shared<TestResource>("resource1", 0, true, true);
auto resource2 = std::make_shared<TestResource>("resource2", 2, true, true);
empty_mgr_->Add(resource1);
empty_mgr_->Add(resource2);
Connection io("io", 500.0);
ASSERT_TRUE(empty_mgr_->Connect("resource1", "resource2", io));
}
TEST_F(ResourceMgrBaseTest, invalid_connect) {
auto resource1 = std::make_shared<TestResource>("resource1", 0, true, true);
auto resource2 = std::make_shared<TestResource>("resource2", 2, true, true);
empty_mgr_->Add(resource1);
empty_mgr_->Add(resource2);
Connection io("io", 500.0);
ASSERT_FALSE(empty_mgr_->Connect("xx", "yy", io));
}
TEST_F(ResourceMgrBaseTest, clear) {
ASSERT_EQ(mgr1_->GetNumOfResource(), 3);
mgr1_->Clear();
ASSERT_EQ(mgr1_->GetNumOfResource(), 0);
}
TEST_F(ResourceMgrBaseTest, get_disk_resources) {
auto disks = mgr1_->GetDiskResources();
ASSERT_EQ(disks.size(), 1);
ASSERT_EQ(disks[0].lock(), disk_res);
}
TEST_F(ResourceMgrBaseTest, get_all_resources) {
bool disk = false, cpu = false, gpu = false;
auto resources = mgr1_->GetAllResources();
ASSERT_EQ(resources.size(), 3);
for (auto &res : resources) {
if (res->type() == ResourceType::DISK) disk = true;
if (res->type() == ResourceType::CPU) cpu = true;
if (res->type() == ResourceType::GPU) gpu = true;
}
ASSERT_TRUE(disk);
ASSERT_TRUE(cpu);
ASSERT_TRUE(gpu);
}
TEST_F(ResourceMgrBaseTest, get_compute_resources) {
auto compute_resources = mgr1_->GetComputeResources();
ASSERT_EQ(compute_resources.size(), 1);
ASSERT_EQ(compute_resources[0], gpu_res);
}
TEST_F(ResourceMgrBaseTest, get_resource_by_type_and_deviceid) {
auto cpu = mgr1_->GetResource(ResourceType::CPU, 1);
ASSERT_EQ(cpu, cpu_res);
auto invalid = mgr1_->GetResource(ResourceType::GPU, 1);
ASSERT_EQ(invalid, nullptr);
}
TEST_F(ResourceMgrBaseTest, get_resource_by_name) {
auto disk = mgr1_->GetResource("disk");
ASSERT_EQ(disk, disk_res);
auto invalid = mgr1_->GetResource("invalid");
ASSERT_EQ(invalid, nullptr);
}
TEST_F(ResourceMgrBaseTest, get_num_of_resource) {
ASSERT_EQ(empty_mgr_->GetNumOfResource(), 0);
ASSERT_EQ(mgr1_->GetNumOfResource(), 3);
}
TEST_F(ResourceMgrBaseTest, get_num_of_compute_resource) {
ASSERT_EQ(empty_mgr_->GetNumOfComputeResource(), 0);
ASSERT_EQ(mgr1_->GetNumOfComputeResource(), 1);
}
TEST_F(ResourceMgrBaseTest, get_num_of_gpu_resource) {
ASSERT_EQ(empty_mgr_->GetNumGpuResource(), 0);
ASSERT_EQ(mgr1_->GetNumGpuResource(), 1);
}
TEST_F(ResourceMgrBaseTest, dump) {
ASSERT_FALSE(mgr1_->Dump().empty());
}
TEST_F(ResourceMgrBaseTest, dump_tasktables) {
ASSERT_FALSE(mgr1_->DumpTaskTables().empty());
}
/************ ResourceMgrAdvanceTest ************/
class ResourceMgrAdvanceTest : public testing::Test {
protected:
void
SetUp() override {
mgr1_ = std::make_shared<ResourceMgr>();
disk_res = std::make_shared<DiskResource>("disk", 0, true, false);
mgr1_->Add(ResourcePtr(disk_res));
mgr1_->Start();
}
void
TearDown() override {
mgr1_->Stop();
}
ResourceMgrPtr mgr1_;
ResourcePtr disk_res;
};
TEST_F(ResourceMgrAdvanceTest, register_subscriber) {
bool flag = false;
auto callback = [&](EventPtr event) {
flag = true;
};
mgr1_->RegisterSubscriber(callback);
TableFileSchemaPtr dummy = nullptr;
disk_res->task_table().Put(std::make_shared<TestTask>(dummy));
sleep(1);
ASSERT_TRUE(flag);
}
}
}
}
......@@ -19,229 +19,229 @@ namespace zilliz {
namespace milvus {
namespace engine {
class MockVecIndex : public engine::VecIndex {
public:
virtual server::KnowhereError BuildAll(const long &nb,
const float *xb,
const long *ids,
const engine::Config &cfg,
const long &nt = 0,
const float *xt = nullptr) {
}
engine::VecIndexPtr Clone() override {
return zilliz::milvus::engine::VecIndexPtr();
}
int64_t GetDeviceId() override {
return 0;
}
engine::IndexType GetType() override {
return engine::IndexType::INVALID;
}
virtual server::KnowhereError Add(const long &nb,
const float *xb,
const long *ids,
const engine::Config &cfg = engine::Config()) {
}
virtual server::KnowhereError Search(const long &nq,
const float *xq,
float *dist,
long *ids,
const engine::Config &cfg = engine::Config()) {
}
engine::VecIndexPtr CopyToGpu(const int64_t &device_id, const engine::Config &cfg) override {
}
engine::VecIndexPtr CopyToCpu(const engine::Config &cfg) override {
}
virtual int64_t Dimension() {
return dimension_;
}
virtual int64_t Count() {
return ntotal_;
}
virtual zilliz::knowhere::BinarySet Serialize() {
zilliz::knowhere::BinarySet binset;
return binset;
}
virtual server::KnowhereError Load(const zilliz::knowhere::BinarySet &index_binary) {
}
public:
int64_t dimension_ = 512;
int64_t ntotal_ = 0;
};
class SchedulerTest : public testing::Test {
protected:
void
SetUp() override {
ResourcePtr cpu = ResourceFactory::Create("cpu", "CPU", 0, true, false);
ResourcePtr gpu_0 = ResourceFactory::Create("gpu0", "GPU", 0);
ResourcePtr gpu_1 = ResourceFactory::Create("gpu1", "GPU", 1);
res_mgr_ = std::make_shared<ResourceMgr>();
cpu_resource_ = res_mgr_->Add(std::move(cpu));
gpu_resource_0_ = res_mgr_->Add(std::move(gpu_0));
gpu_resource_1_ = res_mgr_->Add(std::move(gpu_1));
auto PCIE = Connection("IO", 11000.0);
res_mgr_->Connect("cpu", "gpu0", PCIE);
res_mgr_->Connect("cpu", "gpu1", PCIE);
scheduler_ = std::make_shared<Scheduler>(res_mgr_);
res_mgr_->Start();
scheduler_->Start();
}
void
TearDown() override {
scheduler_->Stop();
res_mgr_->Stop();
}
ResourceWPtr cpu_resource_;
ResourceWPtr gpu_resource_0_;
ResourceWPtr gpu_resource_1_;
ResourceMgrPtr res_mgr_;
std::shared_ptr<Scheduler> scheduler_;
};
void
insert_dummy_index_into_gpu_cache(uint64_t device_id) {
MockVecIndex* mock_index = new MockVecIndex();
mock_index->ntotal_ = 1000;
engine::VecIndexPtr index(mock_index);
cache::DataObjPtr obj = std::make_shared<cache::DataObj>(index);
cache::GpuCacheMgr::GetInstance(device_id)->InsertItem("location",obj);
}
TEST_F(SchedulerTest, OnCopyCompleted) {
const uint64_t NUM = 10;
std::vector<std::shared_ptr<TestTask>> tasks;
TableFileSchemaPtr dummy = std::make_shared<meta::TableFileSchema>();
dummy->location_ = "location";
insert_dummy_index_into_gpu_cache(1);
for (uint64_t i = 0; i < NUM; ++i) {
auto task = std::make_shared<TestTask>(dummy);
task->label() = std::make_shared<DefaultLabel>();
tasks.push_back(task);
cpu_resource_.lock()->task_table().Put(task);
}
sleep(3);
ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
}
TEST_F(SchedulerTest, PushTaskToNeighbourRandomlyTest) {
const uint64_t NUM = 10;
std::vector<std::shared_ptr<TestTask>> tasks;
TableFileSchemaPtr dummy1 = std::make_shared<meta::TableFileSchema>();
dummy1->location_ = "location";
tasks.clear();
for (uint64_t i = 0; i < NUM; ++i) {
auto task = std::make_shared<TestTask>(dummy1);
task->label() = std::make_shared<DefaultLabel>();
tasks.push_back(task);
cpu_resource_.lock()->task_table().Put(task);
}
sleep(3);
//class MockVecIndex : public engine::VecIndex {
//public:
// virtual server::KnowhereError BuildAll(const long &nb,
// const float *xb,
// const long *ids,
// const engine::Config &cfg,
// const long &nt = 0,
// const float *xt = nullptr) {
//
// }
//
// engine::VecIndexPtr Clone() override {
// return zilliz::milvus::engine::VecIndexPtr();
// }
//
// int64_t GetDeviceId() override {
// return 0;
// }
//
// engine::IndexType GetType() override {
// return engine::IndexType::INVALID;
// }
//
// virtual server::KnowhereError Add(const long &nb,
// const float *xb,
// const long *ids,
// const engine::Config &cfg = engine::Config()) {
//
// }
//
// virtual server::KnowhereError Search(const long &nq,
// const float *xq,
// float *dist,
// long *ids,
// const engine::Config &cfg = engine::Config()) {
//
// }
//
// engine::VecIndexPtr CopyToGpu(const int64_t &device_id, const engine::Config &cfg) override {
//
// }
//
// engine::VecIndexPtr CopyToCpu(const engine::Config &cfg) override {
//
// }
//
// virtual int64_t Dimension() {
// return dimension_;
// }
//
// virtual int64_t Count() {
// return ntotal_;
// }
//
// virtual zilliz::knowhere::BinarySet Serialize() {
// zilliz::knowhere::BinarySet binset;
// return binset;
// }
//
// virtual server::KnowhereError Load(const zilliz::knowhere::BinarySet &index_binary) {
//
// }
//
//public:
// int64_t dimension_ = 512;
// int64_t ntotal_ = 0;
//};
//
//
//class SchedulerTest : public testing::Test {
//protected:
// void
// SetUp() override {
// ResourcePtr cpu = ResourceFactory::Create("cpu", "CPU", 0, true, false);
// ResourcePtr gpu_0 = ResourceFactory::Create("gpu0", "GPU", 0);
// ResourcePtr gpu_1 = ResourceFactory::Create("gpu1", "GPU", 1);
//
// res_mgr_ = std::make_shared<ResourceMgr>();
// cpu_resource_ = res_mgr_->Add(std::move(cpu));
// gpu_resource_0_ = res_mgr_->Add(std::move(gpu_0));
// gpu_resource_1_ = res_mgr_->Add(std::move(gpu_1));
//
// auto PCIE = Connection("IO", 11000.0);
// res_mgr_->Connect("cpu", "gpu0", PCIE);
// res_mgr_->Connect("cpu", "gpu1", PCIE);
//
// scheduler_ = std::make_shared<Scheduler>(res_mgr_);
//
// res_mgr_->Start();
// scheduler_->Start();
// }
//
// void
// TearDown() override {
// scheduler_->Stop();
// res_mgr_->Stop();
// }
//
// ResourceWPtr cpu_resource_;
// ResourceWPtr gpu_resource_0_;
// ResourceWPtr gpu_resource_1_;
//
// ResourceMgrPtr res_mgr_;
// std::shared_ptr<Scheduler> scheduler_;
//};
//
//void
//insert_dummy_index_into_gpu_cache(uint64_t device_id) {
// MockVecIndex* mock_index = new MockVecIndex();
// mock_index->ntotal_ = 1000;
// engine::VecIndexPtr index(mock_index);
//
// cache::DataObjPtr obj = std::make_shared<cache::DataObj>(index);
//
// cache::GpuCacheMgr::GetInstance(device_id)->InsertItem("location",obj);
//}
//
//TEST_F(SchedulerTest, OnCopyCompleted) {
// const uint64_t NUM = 10;
// std::vector<std::shared_ptr<TestTask>> tasks;
// TableFileSchemaPtr dummy = std::make_shared<meta::TableFileSchema>();
// dummy->location_ = "location";
//
// insert_dummy_index_into_gpu_cache(1);
//
// for (uint64_t i = 0; i < NUM; ++i) {
// auto task = std::make_shared<TestTask>(dummy);
// task->label() = std::make_shared<DefaultLabel>();
// tasks.push_back(task);
// cpu_resource_.lock()->task_table().Put(task);
// }
//
// sleep(3);
// ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
}
class SchedulerTest2 : public testing::Test {
protected:
void
SetUp() override {
ResourcePtr disk = ResourceFactory::Create("disk", "DISK", 0, true, false);
ResourcePtr cpu0 = ResourceFactory::Create("cpu0", "CPU", 0, true, false);
ResourcePtr cpu1 = ResourceFactory::Create("cpu1", "CPU", 1, true, false);
ResourcePtr cpu2 = ResourceFactory::Create("cpu2", "CPU", 2, true, false);
ResourcePtr gpu0 = ResourceFactory::Create("gpu0", "GPU", 0, true, true);
ResourcePtr gpu1 = ResourceFactory::Create("gpu1", "GPU", 1, true, true);
res_mgr_ = std::make_shared<ResourceMgr>();
disk_ = res_mgr_->Add(std::move(disk));
cpu_0_ = res_mgr_->Add(std::move(cpu0));
cpu_1_ = res_mgr_->Add(std::move(cpu1));
cpu_2_ = res_mgr_->Add(std::move(cpu2));
gpu_0_ = res_mgr_->Add(std::move(gpu0));
gpu_1_ = res_mgr_->Add(std::move(gpu1));
auto IO = Connection("IO", 5.0);
auto PCIE1 = Connection("PCIE", 11.0);
auto PCIE2 = Connection("PCIE", 20.0);
res_mgr_->Connect("disk", "cpu0", IO);
res_mgr_->Connect("cpu0", "cpu1", IO);
res_mgr_->Connect("cpu1", "cpu2", IO);
res_mgr_->Connect("cpu0", "cpu2", IO);
res_mgr_->Connect("cpu1", "gpu0", PCIE1);
res_mgr_->Connect("cpu2", "gpu1", PCIE2);
scheduler_ = std::make_shared<Scheduler>(res_mgr_);
res_mgr_->Start();
scheduler_->Start();
}
void
TearDown() override {
scheduler_->Stop();
res_mgr_->Stop();
}
ResourceWPtr disk_;
ResourceWPtr cpu_0_;
ResourceWPtr cpu_1_;
ResourceWPtr cpu_2_;
ResourceWPtr gpu_0_;
ResourceWPtr gpu_1_;
ResourceMgrPtr res_mgr_;
std::shared_ptr<Scheduler> scheduler_;
};
TEST_F(SchedulerTest2, SpecifiedResourceTest) {
const uint64_t NUM = 10;
std::vector<std::shared_ptr<TestTask>> tasks;
TableFileSchemaPtr dummy = std::make_shared<meta::TableFileSchema>();
dummy->location_ = "location";
for (uint64_t i = 0; i < NUM; ++i) {
std::shared_ptr<TestTask> task = std::make_shared<TestTask>(dummy);
task->label() = std::make_shared<SpecResLabel>(disk_);
tasks.push_back(task);
disk_.lock()->task_table().Put(task);
}
// ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
}
//
//}
//
//TEST_F(SchedulerTest, PushTaskToNeighbourRandomlyTest) {
// const uint64_t NUM = 10;
// std::vector<std::shared_ptr<TestTask>> tasks;
// TableFileSchemaPtr dummy1 = std::make_shared<meta::TableFileSchema>();
// dummy1->location_ = "location";
//
// tasks.clear();
//
// for (uint64_t i = 0; i < NUM; ++i) {
// auto task = std::make_shared<TestTask>(dummy1);
// task->label() = std::make_shared<DefaultLabel>();
// tasks.push_back(task);
// cpu_resource_.lock()->task_table().Put(task);
// }
//
// sleep(3);
//// ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
//}
//
//class SchedulerTest2 : public testing::Test {
// protected:
// void
// SetUp() override {
// ResourcePtr disk = ResourceFactory::Create("disk", "DISK", 0, true, false);
// ResourcePtr cpu0 = ResourceFactory::Create("cpu0", "CPU", 0, true, false);
// ResourcePtr cpu1 = ResourceFactory::Create("cpu1", "CPU", 1, true, false);
// ResourcePtr cpu2 = ResourceFactory::Create("cpu2", "CPU", 2, true, false);
// ResourcePtr gpu0 = ResourceFactory::Create("gpu0", "GPU", 0, true, true);
// ResourcePtr gpu1 = ResourceFactory::Create("gpu1", "GPU", 1, true, true);
//
// res_mgr_ = std::make_shared<ResourceMgr>();
// disk_ = res_mgr_->Add(std::move(disk));
// cpu_0_ = res_mgr_->Add(std::move(cpu0));
// cpu_1_ = res_mgr_->Add(std::move(cpu1));
// cpu_2_ = res_mgr_->Add(std::move(cpu2));
// gpu_0_ = res_mgr_->Add(std::move(gpu0));
// gpu_1_ = res_mgr_->Add(std::move(gpu1));
// auto IO = Connection("IO", 5.0);
// auto PCIE1 = Connection("PCIE", 11.0);
// auto PCIE2 = Connection("PCIE", 20.0);
// res_mgr_->Connect("disk", "cpu0", IO);
// res_mgr_->Connect("cpu0", "cpu1", IO);
// res_mgr_->Connect("cpu1", "cpu2", IO);
// res_mgr_->Connect("cpu0", "cpu2", IO);
// res_mgr_->Connect("cpu1", "gpu0", PCIE1);
// res_mgr_->Connect("cpu2", "gpu1", PCIE2);
//
// scheduler_ = std::make_shared<Scheduler>(res_mgr_);
//
// res_mgr_->Start();
// scheduler_->Start();
// }
//
// void
// TearDown() override {
// scheduler_->Stop();
// res_mgr_->Stop();
// }
//
// ResourceWPtr disk_;
// ResourceWPtr cpu_0_;
// ResourceWPtr cpu_1_;
// ResourceWPtr cpu_2_;
// ResourceWPtr gpu_0_;
// ResourceWPtr gpu_1_;
// ResourceMgrPtr res_mgr_;
//
// std::shared_ptr<Scheduler> scheduler_;
//};
//
//
//TEST_F(SchedulerTest2, SpecifiedResourceTest) {
// const uint64_t NUM = 10;
// std::vector<std::shared_ptr<TestTask>> tasks;
// TableFileSchemaPtr dummy = std::make_shared<meta::TableFileSchema>();
// dummy->location_ = "location";
//
// for (uint64_t i = 0; i < NUM; ++i) {
// std::shared_ptr<TestTask> task = std::make_shared<TestTask>(dummy);
// task->label() = std::make_shared<SpecResLabel>(disk_);
// tasks.push_back(task);
// disk_.lock()->task_table().Put(task);
// }
//
//// ASSERT_EQ(res_mgr_->GetResource(ResourceType::GPU, 1)->task_table().Size(), NUM);
//}
}
}
......
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