提交 ddd43d02 编写于 作者: O openeuler-ci-bot 提交者: Gitee

!160 atune: using the same baseline when the restart flag is enabled.

Merge pull request !160 from lixiaoguang/dev_baseline
......@@ -290,7 +290,6 @@ class Optimizer(multiprocessing.Process):
if ref_x and ref_y is None:
ref_y = list(map(objective, ref_x))
LOGGER.info("ref_y is: %s", ref_y)
n_calls -= len(ref_y)
# Pass user suggested initialisation points to the optimizer
if ref_x:
......@@ -302,6 +301,7 @@ class Optimizer(multiprocessing.Process):
"have the same length")
LOGGER.info("ref_x: %s", ref_x)
LOGGER.info("ref_y: %s", ref_y)
n_calls -= len(ref_y)
ret = optimizer.tell(ref_x, ref_y)
for i in range(n_calls):
......
......@@ -34,6 +34,7 @@ const (
TuningMessage_SyncConfig TuningMessageStatus = 6
TuningMessage_Detail TuningMessageStatus = 7
TuningMessage_Threshold TuningMessageStatus = 8
TuningMessage_JobCreate TuningMessageStatus = 9
)
var TuningMessageStatus_name = map[int32]string{
......@@ -46,6 +47,7 @@ var TuningMessageStatus_name = map[int32]string{
6: "SyncConfig",
7: "Detail",
8: "Threshold",
9: "JobCreate",
}
var TuningMessageStatus_value = map[string]int32{
......@@ -58,6 +60,7 @@ var TuningMessageStatus_value = map[string]int32{
"SyncConfig": 6,
"Detail": 7,
"Threshold": 8,
"JobCreate": 9,
}
func (x TuningMessageStatus) String() string {
......@@ -843,74 +846,74 @@ func init() {
func init() { proto.RegisterFile("profile.proto", fileDescriptor_744bf7a47b381504) }
var fileDescriptor_744bf7a47b381504 = []byte{
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0xfe, 0x0e, 0x00, 0x00, 0xff, 0xff, 0x7f, 0xa9, 0x73, 0x55, 0xd8, 0x0a, 0x00, 0x00,
}
// Reference imports to suppress errors if they are not otherwise used.
......
......@@ -110,6 +110,7 @@ message TuningMessage {
SyncConfig = 6;
Detail = 7;
Threshold = 8;
JobCreate = 9;
}
status state = 4;
int32 RandomStarts = 5;
......
......@@ -41,10 +41,10 @@ type Evaluate struct {
// EvalInfo :store the evaluation object
type EvalInfo struct {
Get string `yaml:"get"`
Type string `yaml:"type"`
Weight int64 `yaml:"weight"`
Threshold int64 `yaml:"threshold"`
Get string `yaml:"get"`
Type string `yaml:"type"`
Weight int64 `yaml:"weight"`
Threshold float64 `yaml:"threshold"`
}
// YamlPrjCli :store the client yaml project
......@@ -168,25 +168,25 @@ func (y *YamlPrjCli) BenchMark() (string, string, error) {
func (y *YamlPrjCli) BestPerformance() string {
bestPerformance := make([]string, 0)
for index, evaluation := range y.Evaluations {
bestPerformance = append(bestPerformance, fmt.Sprintf("%s:%.2f", evaluation.Name, math.Abs(y.EvalMinArray[index])))
bestPerformance = append(bestPerformance, fmt.Sprintf("%s=%.2f", evaluation.Name, math.Abs(y.EvalMinArray[index])))
}
return fmt.Sprintf("(%s)", strings.Join(bestPerformance, ","))
return fmt.Sprintf("%s", strings.Join(bestPerformance, ","))
}
func (y *YamlPrjCli) CurrPerformance() string {
currPerformance := make([]string, 0)
for index, evaluation := range y.Evaluations {
currPerformance = append(currPerformance, fmt.Sprintf("%s:%.2f", evaluation.Name, math.Abs(y.EvalCurrentArray[index])))
currPerformance = append(currPerformance, fmt.Sprintf("%s=%.2f", evaluation.Name, math.Abs(y.EvalCurrentArray[index])))
}
return fmt.Sprintf("(%s)", strings.Join(currPerformance, ","))
return fmt.Sprintf("%s", strings.Join(currPerformance, ","))
}
func (y *YamlPrjCli) BasePerformance() string {
basePerformance := make([]string, 0)
for index, evaluation := range y.Evaluations {
basePerformance = append(basePerformance, fmt.Sprintf("%s:%.2f", evaluation.Name, math.Abs(y.EvalBaseArray[index])))
basePerformance = append(basePerformance, fmt.Sprintf("%s=%.2f", evaluation.Name, math.Abs(y.EvalBaseArray[index])))
}
return fmt.Sprintf("(%s)", strings.Join(basePerformance, ","))
return fmt.Sprintf("%s", strings.Join(basePerformance, ","))
}
func (y *YamlPrjCli) calculateBenchMark() float64 {
......@@ -217,16 +217,18 @@ func (y *YamlPrjCli) improveRate(index int) float64 {
// Threshold return the threshold, which replace with the benchmark result.
// it is used when the parameters is not match with the relations
func (y *YamlPrjCli) Threshold() (string, error) {
func (y *YamlPrjCli) Threshold() (string, string, error) {
benchStr := make([]string, 0)
for _, evaluation := range y.Evaluations {
out := strconv.FormatFloat(float64(evaluation.Info.Threshold)*float64(evaluation.Info.Weight)/100, 'f', -1, 64)
for index, evaluation := range y.Evaluations {
floatOut := evaluation.Info.Threshold
if evaluation.Info.Type == "negative" {
out = "-" + out
floatOut = -floatOut
}
benchStr = append(benchStr, evaluation.Name+"="+out)
y.EvalCurrentArray[index] = floatOut
benchStr = append(benchStr, fmt.Sprintf("%s=%.2f", evaluation.Name, floatOut))
}
return strings.Join(benchStr, ","), nil
sum := y.calculateBenchMark()
return fmt.Sprintf("evaluations=%.2f", sum), strings.Join(benchStr, ","), nil
}
// SetHistoryEvalBase method call the set the current EvalBase to history baseline
......
......@@ -56,6 +56,7 @@ type Optimizer struct {
EvalBase string
RespPutIns *models.RespPutBody
StartIterTime string
InitConfig string
TotalTime float64
Percentage float64
BackupFlag bool
......@@ -124,9 +125,6 @@ func (o *Optimizer) createOptimizerTask(ch chan *PB.TuningMessage, iters int32,
if o.Restart && iters <= int32(len(optimizerBody.Xref)) {
return fmt.Errorf("create task failed for client ask iters less than tuning history")
}
if o.Restart {
iters = iters - int32(len(optimizerBody.Xref))
}
optimizerBody.MaxEval = iters
optimizerBody.Engine = engine
optimizerBody.RandomStarts = o.RandomStarts
......@@ -168,6 +166,13 @@ func (o *Optimizer) createOptimizerTask(ch chan *PB.TuningMessage, iters int32,
State: PB.TuningMessage_JobInit,
FeatureFilter: o.FeatureFilter,
Content: []byte(strconv.Itoa(respPostIns.Iters)),
TuningLog: &PB.TuningHistory{
BaseEval: o.EvalBase,
MinEval: o.EvalMinArray,
SumEval: fmt.Sprintf("%.2f", o.MinEvalSum),
TotalTime: int64(o.TotalTime),
Starts: int32(o.Iter) + 1,
},
}
url := config.GetURL(config.OptimizerURI)
o.OptimizerPutURL = fmt.Sprintf("%s/%s", url, respPostIns.TaskID)
......@@ -203,9 +208,11 @@ func (o *Optimizer) readTuningLog(body *models.OptimizerPostBody) error {
return err
}
if o.Iter == 1 {
if o.Iter == 0 {
o.EvalBase = items[4]
o.MinEvalSum = yFloat
o.EvalMinArray = items[4]
continue
}
if startTime, err = time.Parse(config.DefaultTimeFormat, items[1]); err != nil {
......@@ -259,11 +266,9 @@ func (o *Optimizer) DynamicTuned(ch chan *PB.TuningMessage, stopCh chan int) err
var evalValue string
var err error
var message string
if o.Content != nil {
evalValue, err = o.evalParsing(ch)
if err != nil {
return err
}
evalValue, err = o.evalParsing(ch)
if err != nil {
return err
}
err = os.Setenv("ITERATION", strconv.Itoa(o.Iter))
......@@ -347,13 +352,6 @@ func (o *Optimizer) DynamicTuned(ch chan *PB.TuningMessage, stopCh chan int) err
ch <- &PB.TuningMessage{State: PB.TuningMessage_BenchMark,
Content: []byte(o.RespPutIns.Param),
FeatureFilter: o.FeatureFilter,
TuningLog: &PB.TuningHistory{
BaseEval: o.EvalBase,
MinEval: o.EvalMinArray,
SumEval: fmt.Sprintf("%.2f", o.MinEvalSum),
TotalTime: int64(o.TotalTime),
Starts: int32(o.Iter),
},
}
return nil
}
......@@ -451,12 +449,23 @@ func (o *Optimizer) RestoreConfigTuned(ch chan *PB.TuningMessage) error {
}
func (o *Optimizer) evalParsing(ch chan *PB.TuningMessage) (string, error) {
eval := string(o.Content)
if o.Restart && o.Content == nil {
return "", nil
}
eval := o.EvalBase
if o.Content != nil {
eval = string(o.Content)
}
configs := o.InitConfig
if o.RespPutIns != nil {
configs = o.RespPutIns.Param
}
endIterTime := time.Now().Format(config.DefaultTimeFormat)
iterInfo := make([]string, 0)
iterInfo = append(iterInfo, strconv.Itoa(o.Iter), o.StartIterTime, endIterTime,
o.Evaluations, eval, o.RespPutIns.Param)
o.Evaluations, eval, configs)
output := strings.Join(iterInfo, "|")
err := utils.WriteFile(o.TuningFile, output+"\n", utils.FilePerm,
os.O_APPEND|os.O_WRONLY)
......@@ -674,6 +683,7 @@ func (o *Optimizer) Backup(ch chan *PB.TuningMessage) error {
log.Error(err)
return err
}
o.InitConfig = strings.Join(initConfigure, ",")
return nil
}
......
......@@ -148,6 +148,26 @@ func profileTunning(ctx *cli.Context) error {
}
state := reply.GetState()
switch state {
case PB.TuningMessage_JobCreate:
if !init {
select {
case err := <-errors:
return err
case <-finished:
break
}
init = true
}
content := &PB.TuningMessage{
State: PB.TuningMessage_JobCreate,
TuningLog: &PB.TuningHistory{
BaseEval: prj.BasePerformance(),
SumEval: fmt.Sprintf("evaluations=%.2f", prj.EvalCurrent),
},
}
if err := stream.Send(content); err != nil {
return fmt.Errorf("client sends failure, error: %v", err)
}
case PB.TuningMessage_JobInit:
prj.FeatureFilter = reply.GetFeatureFilter()
iterations, err := strconv.Atoi(string(reply.GetContent()))
......@@ -155,24 +175,15 @@ func profileTunning(ctx *cli.Context) error {
return err
}
prj.TotalIters = int32(iterations)
if ctx.Bool("restart") {
prj.SetHistoryEvalBase(reply.GetTuningLog())
}
case PB.TuningMessage_JobRestart:
prj.StartIters = 1
if err := stream.Send(&PB.TuningMessage{State: PB.TuningMessage_JobRestart, Content: []byte(strconv.Itoa(int(prj.Iterations)))}); err != nil {
return fmt.Errorf("client sends failure, error: %v", err)
}
case PB.TuningMessage_BenchMark:
if !init {
select {
case err := <-errors:
return err
case <-finished:
break
}
init = true
}
if ctx.Bool("restart") {
prj.SetHistoryEvalBase(reply.GetTuningLog())
}
prj.Params = string(reply.GetContent())
evaluationSum, evaluationDetail, err := prj.BenchMark()
if err != nil {
......@@ -187,14 +198,14 @@ func profileTunning(ctx *cli.Context) error {
prj.StartIters, prj.TotalIters)
} else {
fmt.Printf(" Current Tuning Progress......(%d/%d)\n", prj.StartIters, prj.TotalIters)
fmt.Printf(" Used time: %s, Total Time: %s, Best Performance: %s, Performance Improvement Rate: %s%%\n",
fmt.Printf(" Used time: %s, Total Time: %s, Best Performance: (%s), Performance Improvement Rate: %s%%\n",
currentTime.Sub(prj.StartsTime).Round(time.Second).String(),
time.Duration(int64(currentTime.Sub(prj.StartsTime).Round(time.Second).Seconds())+prj.TotalTime)*time.Second,
prj.BestPerformance(), prj.ImproveRateString(prj.EvalMin))
}
if ctx.Bool("detail") && !prj.FeatureFilter {
fmt.Printf(" The %dth recommand parameters is: %s\n"+
" The %dth evaluation value: %s(%s%%)\n", prj.StartIters, prj.Params, prj.StartIters, prj.CurrPerformance(), prj.ImproveRateString(prj.EvalCurrent))
" The %dth evaluation value: (%s)(%s%%)\n", prj.StartIters, prj.Params, prj.StartIters, prj.CurrPerformance(), prj.ImproveRateString(prj.EvalCurrent))
}
prj.StartIters++
err = stream.Send(&PB.TuningMessage{
......@@ -206,12 +217,18 @@ func profileTunning(ctx *cli.Context) error {
return fmt.Errorf("client sends failure, error: %v", err)
}
case PB.TuningMessage_Threshold:
benchmarkByte, err := prj.Threshold()
evaluationSum, evaluationDetail, err := prj.Threshold()
if err != nil {
fmt.Println("benchmark result:", benchmarkByte)
fmt.Println("get threshold failed")
return err
}
if err := stream.Send(&PB.TuningMessage{State: PB.TuningMessage_BenchMark, Content: []byte(benchmarkByte)}); err != nil {
prj.StartIters++
err = stream.Send(&PB.TuningMessage{
State: PB.TuningMessage_BenchMark,
Content: []byte(evaluationDetail),
TuningLog: &PB.TuningHistory{SumEval: evaluationSum},
})
if err != nil {
return fmt.Errorf("client sends failure, error: %v", err)
}
case PB.TuningMessage_Display:
......@@ -221,7 +238,7 @@ func profileTunning(ctx *cli.Context) error {
fmt.Printf(" %s\n", string(reply.GetContent()))
}
case PB.TuningMessage_Ending:
fmt.Printf(" Baseline Performance is: %s\n", prj.BasePerformance())
fmt.Printf(" Baseline Performance is: (%s)\n", prj.BasePerformance())
fmt.Printf(" %s\n", string(reply.GetContent()))
fmt.Printf(" Tuning Finished\n")
goto End
......@@ -329,6 +346,7 @@ func checkTuningPrjYaml(prj project.YamlPrjCli) error {
return fmt.Errorf("error: split_count must be > 0 "+
"in project %s", prj.Project)
}
return nil
}
......
......@@ -623,7 +623,10 @@ func (s *ProfileServer) Tuning(stream PB.ProfileMgr_TuningServer) error {
optimizer.FeatureFilterIters = reply.GetFeatureFilterIters()
optimizer.SplitCount = reply.GetSplitCount()
cycles = reply.GetFeatureFilterCycle()
ch <- &PB.TuningMessage{State: PB.TuningMessage_JobCreate}
case PB.TuningMessage_JobCreate:
optimizer.EvalBase = reply.GetTuningLog().GetBaseEval()
optimizer.Evaluations = reply.GetTuningLog().GetSumEval()
if cycles == 0 {
if optimizer.Restart {
message = fmt.Sprintf("%d.Continue to tuning the system......", step)
......
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