modified ai platform getResourcestats methods and dynamicResources strategy
Former-commit-id: ee8836b10b362b2d74596f5dcc5f3ec8a81d78ce
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fd71bfba72
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@ -15,18 +15,11 @@
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package common
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import (
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/internal/scheduler/strategy"
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/pkg/response"
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"math"
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"math/rand"
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"time"
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)
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type SubSchedule interface {
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GetNewStructForDb(task *response.TaskInfo, resource string, participantId int64) (interface{}, error)
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PickOptimalStrategy() (strategy.Strategy, error)
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AssignTask(clusters []*strategy.AssignedCluster) error
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}
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// 求交集
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func Intersect(slice1, slice2 []int64) []int64 {
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m := make(map[int64]int)
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@ -90,3 +83,8 @@ func MicsSlice(origin []int64, count int) []int64 {
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}
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return result
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}
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func RoundFloat(val float64, precision uint) float64 {
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ratio := math.Pow(10, float64(precision))
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return math.Round(val*ratio) / ratio
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}
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@ -22,6 +22,7 @@ import (
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/internal/scheduler/database"
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/internal/scheduler/service/collector"
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/internal/scheduler/service/executor"
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/internal/scheduler/strategy"
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/pkg/response"
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"gitlink.org.cn/JointCloud/pcm-coordinator/rpc/client/participantservice"
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"gorm.io/gorm"
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@ -33,7 +34,7 @@ import (
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type Scheduler struct {
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task *response.TaskInfo
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participantIds []int64
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subSchedule common.SubSchedule
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subSchedule SubSchedule
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dbEngin *gorm.DB
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result []string //pID:子任务yamlstring 键值对
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participantRpc participantservice.ParticipantService
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@ -43,7 +44,13 @@ type Scheduler struct {
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mu sync.RWMutex
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}
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func NewScheduler(subSchedule common.SubSchedule, val string, dbEngin *gorm.DB, participantRpc participantservice.ParticipantService) (*Scheduler, error) {
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type SubSchedule interface {
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GetNewStructForDb(task *response.TaskInfo, resource string, participantId int64) (interface{}, error)
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PickOptimalStrategy() (strategy.Strategy, error)
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AssignTask(clusters []*strategy.AssignedCluster) error
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}
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func NewScheduler(subSchedule SubSchedule, val string, dbEngin *gorm.DB, participantRpc participantservice.ParticipantService) (*Scheduler, error) {
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var task *response.TaskInfo
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err := json.Unmarshal([]byte(val), &task)
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if err != nil {
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@ -123,7 +130,7 @@ func (s *Scheduler) TempAssign() error {
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return nil
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}
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func (s *Scheduler) AssignAndSchedule(ss common.SubSchedule) error {
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func (s *Scheduler) AssignAndSchedule(ss SubSchedule) error {
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//// 已指定 ParticipantId
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//if s.task.ParticipantId != 0 {
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// return nil
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@ -75,7 +75,7 @@ func (as *AiScheduler) PickOptimalStrategy() (strategy.Strategy, error) {
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strategy := strategy.NewPricingStrategy(¶m.ResourcePricingParams{Params: params, Replicas: 1})
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return strategy, nil
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case strategy.DYNAMIC_RESOURCES:
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strategy := strategy.NewDynamicResourcesStrategy(resources, as.option)
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strategy := strategy.NewDynamicResourcesStrategy(resources, as.option, 1)
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return strategy, nil
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}
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@ -4,6 +4,7 @@ type AiOption struct {
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AiClusterId string // shuguangAi /octopus ClusterId
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TaskName string
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ResourceType string // cpu/gpu/compute card
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CpuCoreNum int64
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TaskType string // pytorch/tensorflow/mindspore
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DatasetsName string // mnist/imageNet/iris
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StrategyName string
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@ -8,20 +8,22 @@ type AiCollector interface {
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type ResourceStats struct {
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ParticipantId int64
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Name string
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CpuAvail float64
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CpuCoreAvail int64
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MemAvail float64
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DiskAvail float64
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GpuAvail float64
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CardToHours map[Card]float64
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CpuToHours map[int]float64
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GpuAvail int64
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CardsAvail []*Card
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CpuCoreHours float64
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Balance float64
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}
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type Card struct {
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Platform string
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Type string
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Name string
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TOpsAtFp16 float64
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Price int32
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CardHours float64
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Num int32
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}
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type DatasetsSpecs struct {
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@ -2,6 +2,7 @@ package strategy
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import (
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"errors"
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/internal/scheduler/common"
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/internal/scheduler/schedulers/option"
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/internal/scheduler/service/collector"
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)
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@ -12,8 +13,8 @@ type DynamicResourcesStrategy struct {
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opt option.Option
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}
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func NewDynamicResourcesStrategy(resources []*collector.ResourceStats, opt option.Option) *DynamicResourcesStrategy {
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return &DynamicResourcesStrategy{resources: resources, opt: opt}
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func NewDynamicResourcesStrategy(resources []*collector.ResourceStats, opt option.Option, replica int32) *DynamicResourcesStrategy {
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return &DynamicResourcesStrategy{resources: resources, opt: opt, replicas: replica}
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}
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func (ps *DynamicResourcesStrategy) Schedule() ([]*AssignedCluster, error) {
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@ -23,8 +24,47 @@ func (ps *DynamicResourcesStrategy) Schedule() ([]*AssignedCluster, error) {
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switch ps.opt.GetOptionType() {
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case option.AI:
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_ = (interface{})(ps.opt).(*option.AiOption)
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opt := (interface{})(ps.opt).(*option.AiOption)
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var maxCardHoursAvailable float64
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var maxCpuCoreHoursAvailable float64
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var assignedCluster *AssignedCluster
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var results []*AssignedCluster
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for _, res := range ps.resources {
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if opt.ResourceType == "" {
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if res.CpuCoreHours <= 0 {
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cluster := &AssignedCluster{ParticipantId: res.ParticipantId, Name: res.Name, Replicas: ps.replicas}
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results = append(results, cluster)
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return results, nil
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}
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if res.CpuCoreHours > maxCpuCoreHoursAvailable {
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maxCpuCoreHoursAvailable = res.CpuCoreHours
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assignedCluster.Name = res.Name
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assignedCluster.ParticipantId = res.ParticipantId
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assignedCluster.Replicas = ps.replicas
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}
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}
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if opt.ResourceType == "" {
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var maxCurrentCardHours float64
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for _, card := range res.CardsAvail {
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cardHours := common.RoundFloat(card.TOpsAtFp16*card.CardHours, 3)
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if cardHours > maxCurrentCardHours {
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maxCurrentCardHours = cardHours
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}
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}
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if maxCurrentCardHours > maxCardHoursAvailable {
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maxCardHoursAvailable = maxCurrentCardHours
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assignedCluster.Name = res.Name
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assignedCluster.ParticipantId = res.ParticipantId
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assignedCluster.Replicas = ps.replicas
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}
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}
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}
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results = append(results, assignedCluster)
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return results, nil
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}
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return nil, nil
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return nil, errors.New("failed to apply DynamicResourcesStrategy")
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}
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@ -23,7 +23,7 @@ func (r *ResourcePricingParams) GetProviders() []*providerPricing.Provider {
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for _, resource := range r.Resources {
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provider := providerPricing.NewProvider(
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resource.ParticipantId,
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resource.CpuAvail,
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float64(resource.CpuCoreAvail),
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resource.MemAvail,
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resource.DiskAvail, 0.0, 0.0, 0.0)
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providerList = append(providerList, provider)
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@ -60,6 +60,10 @@ var (
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MLU: CAMBRICON,
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GCU: ENFLAME,
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}
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cardTopsMap = map[string]float64{
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MLU: CAMBRICONMLU290,
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GCU: EnflameT20,
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}
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)
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func NewOctopusLink(ctx context.Context, svcCtx *svc.ServiceContext, name string, id int64) *OctopusLink {
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@ -245,13 +249,49 @@ func (o *OctopusLink) GetResourceStats() (*collector.ResourceStats, error) {
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return nil, errors.New(balanceResp.Error.Message)
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}
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//resourceStat := collector.ResourceStats{}
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//
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//for _, spec := range specResp.TrainResourceSpecs {
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//
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//}
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var cards []*collector.Card
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balance := float64(balanceResp.Payload.BillingUser.Amount)
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var cpuHours float64
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for _, spec := range specResp.TrainResourceSpecs {
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if spec.Price == 0 {
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ns := strings.Split(spec.Name, COMMA)
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if len(ns) == 2 {
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nss := strings.Split(ns[0], COLON)
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if nss[0] == CPU {
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cpuHours = -1
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}
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}
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}
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return nil, nil
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if spec.Price == 1 {
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ns := strings.Split(spec.Name, COMMA)
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cardSpecs := strings.Split(ns[0], STAR)
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cardTops, isMapContainsKey := cardTopsMap[cardSpecs[1]]
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if !isMapContainsKey {
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continue
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}
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card := &collector.Card{
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Platform: OCTOPUS,
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Type: CARD,
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Name: cardSpecs[1],
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TOpsAtFp16: cardTops,
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CardHours: balance / spec.Price,
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}
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cards = append(cards, card)
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}
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}
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resourceStats := &collector.ResourceStats{
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ParticipantId: o.participantId,
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Name: o.platform,
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Balance: balance,
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CardsAvail: cards,
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CpuCoreHours: cpuHours,
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}
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return resourceStats, nil
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}
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func (o *OctopusLink) GetDatasetsSpecs() ([]*collector.DatasetsSpecs, error) {
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@ -17,6 +17,7 @@ package storeLink
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import (
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"context"
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"errors"
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/internal/scheduler/common"
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/internal/scheduler/schedulers/option"
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/internal/scheduler/service/collector"
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"gitlink.org.cn/JointCloud/pcm-coordinator/api/internal/svc"
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@ -42,6 +43,8 @@ const (
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DATASETS_DIR = "/work/home/acgnnmfbwo/pcmv1/dataset"
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ALGORITHM_DIR = "/work/home/acgnnmfbwo/pcmv1/algorithm"
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TRAIN_FILE = "train.py"
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CPUCOREPRICEPERHOUR = 0.09
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DCUPRICEPERHOUR = 2.0
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)
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var RESOURCESGAIMAP = map[string]ResourceSpecSGAI{
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@ -268,24 +271,41 @@ func (s *ShuguangAi) GetResourceStats() (*collector.ResourceStats, error) {
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if err != nil {
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return nil, err
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}
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limitReq := &hpcAC.QueueReq{}
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_, err = s.svcCtx.ACRpc.QueryUserQuotasLimit(s.ctx, limitReq)
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if err != nil {
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return nil, err
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}
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diskReq := &hpcAC.ParaStorQuotaReq{}
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_, err = s.svcCtx.ACRpc.ParaStorQuota(s.ctx, diskReq)
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if err != nil {
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return nil, err
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}
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//limitReq := &hpcAC.QueueReq{}
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//limitResp, err := s.svcCtx.ACRpc.QueryUserQuotasLimit(s.ctx, limitReq)
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//if err != nil {
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// return nil, err
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//}
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//diskReq := &hpcAC.ParaStorQuotaReq{}
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//diskResp, err := s.svcCtx.ACRpc.ParaStorQuota(s.ctx, diskReq)
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//if err != nil {
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// return nil, err
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//}
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var cards []*collector.Card
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balance, _ := strconv.ParseFloat(userinfo.Data.AccountBalance, 64)
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_ = &collector.ResourceStats{
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cardHours := common.RoundFloat(balance/DCUPRICEPERHOUR, 3)
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cpuHours := common.RoundFloat(balance/CPUCOREPRICEPERHOUR, 3)
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dcu := &collector.Card{
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Platform: SHUGUANGAI,
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Type: CARD,
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Name: DCU,
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TOpsAtFp16: DCU_TOPS,
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CardHours: cardHours,
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}
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cards = append(cards, dcu)
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resourceStats := &collector.ResourceStats{
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ParticipantId: s.participantId,
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Name: s.platform,
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Balance: balance,
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CardsAvail: cards,
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CpuCoreHours: cpuHours,
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}
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return nil, nil
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return resourceStats, nil
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}
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func (s *ShuguangAi) GetDatasetsSpecs() ([]*collector.DatasetsSpecs, error) {
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