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0965c6cd68
* chore(refactor): track internally started models by ID Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Just extend options, no need to copy Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Improve debugging for rerankers failures Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Simplify model loading with rerankers Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Be more consistent when generating model options Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Uncommitted code Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Make deleteProcess more idiomatic Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Adapt CLI for sound generation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Fixup threads definition Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Handle corner case where c.Seed is nil Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Consistently use ModelOptions Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Adapt new code to refactoring Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Dave <dave@gray101.com>
202 lines
4.3 KiB
Go
202 lines
4.3 KiB
Go
package model
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import (
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"context"
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"fmt"
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"os"
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"path/filepath"
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"strings"
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"sync"
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"time"
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"github.com/mudler/LocalAI/pkg/templates"
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"github.com/mudler/LocalAI/pkg/utils"
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"github.com/rs/zerolog/log"
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)
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// new idea: what if we declare a struct of these here, and use a loop to check?
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// TODO: Split ModelLoader and TemplateLoader? Just to keep things more organized. Left together to share a mutex until I look into that. Would split if we seperate directories for .bin/.yaml and .tmpl
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type ModelLoader struct {
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ModelPath string
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mu sync.Mutex
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models map[string]*Model
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templates *templates.TemplateCache
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wd *WatchDog
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}
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func NewModelLoader(modelPath string) *ModelLoader {
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nml := &ModelLoader{
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ModelPath: modelPath,
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models: make(map[string]*Model),
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templates: templates.NewTemplateCache(modelPath),
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}
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return nml
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}
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func (ml *ModelLoader) SetWatchDog(wd *WatchDog) {
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ml.wd = wd
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}
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func (ml *ModelLoader) ExistsInModelPath(s string) bool {
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return utils.ExistsInPath(ml.ModelPath, s)
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}
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var knownFilesToSkip []string = []string{
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"MODEL_CARD",
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"README",
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"README.md",
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}
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var knownModelsNameSuffixToSkip []string = []string{
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".tmpl",
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".keep",
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".yaml",
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".yml",
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".json",
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".txt",
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".md",
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".MD",
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".DS_Store",
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".",
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".partial",
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".tar.gz",
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}
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const retryTimeout = time.Duration(2 * time.Minute)
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func (ml *ModelLoader) ListFilesInModelPath() ([]string, error) {
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files, err := os.ReadDir(ml.ModelPath)
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if err != nil {
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return []string{}, err
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}
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models := []string{}
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FILE:
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for _, file := range files {
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for _, skip := range knownFilesToSkip {
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if strings.EqualFold(file.Name(), skip) {
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continue FILE
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}
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}
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// Skip templates, YAML, .keep, .json, and .DS_Store files
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for _, skip := range knownModelsNameSuffixToSkip {
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if strings.HasSuffix(file.Name(), skip) {
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continue FILE
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}
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}
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// Skip directories
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if file.IsDir() {
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continue
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}
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models = append(models, file.Name())
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}
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return models, nil
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}
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func (ml *ModelLoader) ListModels() []Model {
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ml.mu.Lock()
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defer ml.mu.Unlock()
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models := []Model{}
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for _, model := range ml.models {
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models = append(models, *model)
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}
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return models
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}
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func (ml *ModelLoader) LoadModel(modelID, modelName string, loader func(string, string, string) (*Model, error)) (*Model, error) {
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// Check if we already have a loaded model
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if model := ml.CheckIsLoaded(modelID); model != nil {
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return model, nil
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}
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// Load the model and keep it in memory for later use
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modelFile := filepath.Join(ml.ModelPath, modelName)
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log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
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ml.mu.Lock()
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defer ml.mu.Unlock()
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model, err := loader(modelID, modelName, modelFile)
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if err != nil {
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return nil, err
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}
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if model == nil {
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return nil, fmt.Errorf("loader didn't return a model")
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}
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ml.models[modelID] = model
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return model, nil
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}
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func (ml *ModelLoader) ShutdownModel(modelName string) error {
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ml.mu.Lock()
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defer ml.mu.Unlock()
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model, ok := ml.models[modelName]
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if !ok {
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return fmt.Errorf("model %s not found", modelName)
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}
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retries := 1
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for model.GRPC(false, ml.wd).IsBusy() {
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log.Debug().Msgf("%s busy. Waiting.", modelName)
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dur := time.Duration(retries*2) * time.Second
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if dur > retryTimeout {
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dur = retryTimeout
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}
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time.Sleep(dur)
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retries++
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}
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return ml.deleteProcess(modelName)
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}
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func (ml *ModelLoader) CheckIsLoaded(s string) *Model {
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ml.mu.Lock()
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defer ml.mu.Unlock()
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m, ok := ml.models[s]
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if !ok {
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return nil
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}
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log.Debug().Msgf("Model already loaded in memory: %s", s)
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client := m.GRPC(false, ml.wd)
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log.Debug().Msgf("Checking model availability (%s)", s)
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cTimeout, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
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defer cancel()
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alive, err := client.HealthCheck(cTimeout)
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if !alive {
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log.Warn().Msgf("GRPC Model not responding: %s", err.Error())
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log.Warn().Msgf("Deleting the process in order to recreate it")
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process := m.Process()
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if process == nil {
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log.Error().Msgf("Process not found for '%s' and the model is not responding anymore !", s)
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return m
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}
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if !process.IsAlive() {
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log.Debug().Msgf("GRPC Process is not responding: %s", s)
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// stop and delete the process, this forces to re-load the model and re-create again the service
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err := ml.deleteProcess(s)
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if err != nil {
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log.Error().Err(err).Str("process", s).Msg("error stopping process")
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}
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return nil
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}
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}
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return m
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}
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