mirror of
https://github.com/mudler/LocalAI.git
synced 2024-06-07 19:40:48 +00:00
303 lines
8.9 KiB
Go
303 lines
8.9 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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"time"
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rwkv "github.com/donomii/go-rwkv.cpp"
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whisper "github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
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grpc "github.com/go-skynet/LocalAI/pkg/grpc"
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"github.com/go-skynet/LocalAI/pkg/langchain"
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"github.com/go-skynet/LocalAI/pkg/stablediffusion"
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"github.com/go-skynet/LocalAI/pkg/tts"
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bloomz "github.com/go-skynet/bloomz.cpp"
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bert "github.com/go-skynet/go-bert.cpp"
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"github.com/hashicorp/go-multierror"
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"github.com/hpcloud/tail"
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"github.com/phayes/freeport"
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"github.com/rs/zerolog/log"
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process "github.com/mudler/go-processmanager"
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)
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const tokenizerSuffix = ".tokenizer.json"
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const (
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LlamaBackend = "llama"
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BloomzBackend = "bloomz"
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StarcoderBackend = "starcoder"
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GPTJBackend = "gptj"
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DollyBackend = "dolly"
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MPTBackend = "mpt"
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GPTNeoXBackend = "gptneox"
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ReplitBackend = "replit"
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Gpt2Backend = "gpt2"
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Gpt4AllLlamaBackend = "gpt4all-llama"
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Gpt4AllMptBackend = "gpt4all-mpt"
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Gpt4AllJBackend = "gpt4all-j"
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Gpt4All = "gpt4all"
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FalconBackend = "falcon"
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BertEmbeddingsBackend = "bert-embeddings"
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RwkvBackend = "rwkv"
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WhisperBackend = "whisper"
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StableDiffusionBackend = "stablediffusion"
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PiperBackend = "piper"
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LCHuggingFaceBackend = "langchain-huggingface"
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//GGLLMFalconBackend = "falcon"
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)
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var autoLoadBackends []string = []string{
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LlamaBackend,
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Gpt4All,
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RwkvBackend,
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WhisperBackend,
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BertEmbeddingsBackend,
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GPTNeoXBackend,
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GPTJBackend,
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Gpt2Backend,
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DollyBackend,
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MPTBackend,
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ReplitBackend,
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StarcoderBackend,
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FalconBackend,
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BloomzBackend,
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}
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var bertEmbeddings = func(modelFile string) (interface{}, error) {
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return bert.New(modelFile)
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}
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var bloomzLM = func(modelFile string) (interface{}, error) {
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return bloomz.New(modelFile)
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}
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var stableDiffusion = func(assetDir string) (interface{}, error) {
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return stablediffusion.New(assetDir)
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}
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func piperTTS(assetDir string) func(s string) (interface{}, error) {
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return func(s string) (interface{}, error) {
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return tts.New(assetDir)
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}
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}
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var whisperModel = func(modelFile string) (interface{}, error) {
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return whisper.New(modelFile)
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}
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var lcHuggingFace = func(repoId string) (interface{}, error) {
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return langchain.NewHuggingFace(repoId)
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}
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// func llamaLM(opts ...llama.ModelOption) func(string) (interface{}, error) {
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// return func(s string) (interface{}, error) {
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// return llama.New(s, opts...)
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// }
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// }
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// func gpt4allLM(opts ...gpt4all.ModelOption) func(string) (interface{}, error) {
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// return func(s string) (interface{}, error) {
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// return gpt4all.New(s, opts...)
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// }
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// }
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func rwkvLM(tokenFile string, threads uint32) func(string) (interface{}, error) {
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return func(s string) (interface{}, error) {
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log.Debug().Msgf("Loading RWKV", s, tokenFile)
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model := rwkv.LoadFiles(s, tokenFile, threads)
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if model == nil {
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return nil, fmt.Errorf("could not load model")
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}
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return model, nil
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}
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}
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// starts the grpcModelProcess for the backend, and returns a grpc client
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// It also loads the model
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func (ml *ModelLoader) grpcModel(backend string, o *Options) func(string) (interface{}, error) {
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return func(s string) (interface{}, error) {
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log.Debug().Msgf("Loading GRPC Model", backend, *o)
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grpcProcess := filepath.Join(o.assetDir, "backend-assets", "grpc", backend)
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// Make sure the process is executable
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if err := os.Chmod(grpcProcess, 0755); err != nil {
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return nil, err
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}
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log.Debug().Msgf("Loading GRPC Process", grpcProcess)
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port, err := freeport.GetFreePort()
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if err != nil {
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return nil, err
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}
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serverAddress := fmt.Sprintf("localhost:%d", port)
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log.Debug().Msgf("GRPC Service for '%s' (%s) will be running at: '%s'", backend, o.modelFile, serverAddress)
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grpcControlProcess := process.New(
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process.WithTemporaryStateDir(),
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process.WithName(grpcProcess),
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process.WithArgs("--addr", serverAddress))
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ml.grpcProcesses[o.modelFile] = grpcControlProcess
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if err := grpcControlProcess.Run(); err != nil {
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return nil, err
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}
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go func() {
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t, err := tail.TailFile(grpcControlProcess.StderrPath(), tail.Config{Follow: true})
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if err != nil {
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log.Debug().Msgf("Could not tail stderr")
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}
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for line := range t.Lines {
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log.Debug().Msgf("GRPC(%s): stderr %s", strings.Join([]string{backend, o.modelFile, serverAddress}, "-"), line.Text)
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}
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}()
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go func() {
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t, err := tail.TailFile(grpcControlProcess.StdoutPath(), tail.Config{Follow: true})
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if err != nil {
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log.Debug().Msgf("Could not tail stdout")
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}
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for line := range t.Lines {
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log.Debug().Msgf("GRPC(%s): stderr %s", strings.Join([]string{backend, o.modelFile, serverAddress}, "-"), line.Text)
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}
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}()
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log.Debug().Msgf("GRPC Service Started")
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client := grpc.NewClient(serverAddress)
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// Wait for the service to start up
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ready := false
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for i := 0; i < 10; i++ {
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if client.HealthCheck(context.Background()) {
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log.Debug().Msgf("GRPC Service Ready")
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ready = true
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break
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}
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time.Sleep(1 * time.Second)
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}
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if !ready {
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log.Debug().Msgf("GRPC Service NOT ready")
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log.Debug().Msgf("Alive: ", grpcControlProcess.IsAlive())
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log.Debug().Msgf(fmt.Sprintf("GRPC Service Exitcode:"))
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log.Debug().Msgf(grpcControlProcess.ExitCode())
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return nil, fmt.Errorf("grpc service not ready")
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}
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options := *o.gRPCOptions
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options.Model = s
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log.Debug().Msgf("GRPC: Loading model with options: %+v", options)
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res, err := client.LoadModel(context.TODO(), &options)
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if err != nil {
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return nil, err
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}
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if !res.Success {
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return nil, fmt.Errorf("could not load model: %s", res.Message)
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}
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return client, nil
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}
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}
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func (ml *ModelLoader) BackendLoader(opts ...Option) (model interface{}, err error) {
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//backendString string, modelFile string, llamaOpts []llama.ModelOption, threads uint32, assetDir string) (model interface{}, err error) {
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o := NewOptions(opts...)
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log.Debug().Msgf("Loading model %s from %s", o.backendString, o.modelFile)
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switch strings.ToLower(o.backendString) {
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case LlamaBackend:
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return ml.LoadModel(o.modelFile, ml.grpcModel(LlamaBackend, o))
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case BloomzBackend:
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return ml.LoadModel(o.modelFile, bloomzLM)
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case GPTJBackend:
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return ml.LoadModel(o.modelFile, ml.grpcModel(GPTJBackend, o))
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case DollyBackend:
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return ml.LoadModel(o.modelFile, ml.grpcModel(DollyBackend, o))
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case MPTBackend:
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return ml.LoadModel(o.modelFile, ml.grpcModel(MPTBackend, o))
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case Gpt2Backend:
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return ml.LoadModel(o.modelFile, ml.grpcModel(Gpt2Backend, o))
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case FalconBackend:
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return ml.LoadModel(o.modelFile, ml.grpcModel(FalconBackend, o))
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case GPTNeoXBackend:
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return ml.LoadModel(o.modelFile, ml.grpcModel(GPTNeoXBackend, o))
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case ReplitBackend:
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return ml.LoadModel(o.modelFile, ml.grpcModel(ReplitBackend, o))
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case StableDiffusionBackend:
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return ml.LoadModel(o.modelFile, stableDiffusion)
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case PiperBackend:
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return ml.LoadModel(o.modelFile, piperTTS(filepath.Join(o.assetDir, "backend-assets", "espeak-ng-data")))
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case StarcoderBackend:
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return ml.LoadModel(o.modelFile, ml.grpcModel(StarcoderBackend, o))
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case Gpt4AllLlamaBackend, Gpt4AllMptBackend, Gpt4AllJBackend, Gpt4All:
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o.gRPCOptions.LibrarySearchPath = filepath.Join(o.assetDir, "backend-assets", "gpt4all")
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return ml.LoadModel(o.modelFile, ml.grpcModel(Gpt4All, o))
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// return ml.LoadModel(o.modelFile, gpt4allLM(gpt4all.SetThreads(int(o.threads)), gpt4all.SetLibrarySearchPath(filepath.Join(o.assetDir, "backend-assets", "gpt4all"))))
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case BertEmbeddingsBackend:
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return ml.LoadModel(o.modelFile, bertEmbeddings)
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case RwkvBackend:
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return ml.LoadModel(o.modelFile, rwkvLM(filepath.Join(ml.ModelPath, o.modelFile+tokenizerSuffix), o.threads))
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case WhisperBackend:
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return ml.LoadModel(o.modelFile, whisperModel)
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case LCHuggingFaceBackend:
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return ml.LoadModel(o.modelFile, lcHuggingFace)
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default:
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return nil, fmt.Errorf("backend unsupported: %s", o.backendString)
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}
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}
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func (ml *ModelLoader) GreedyLoader(opts ...Option) (interface{}, error) {
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o := NewOptions(opts...)
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log.Debug().Msgf("Loading model '%s' greedly", o.modelFile)
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ml.mu.Lock()
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m, exists := ml.models[o.modelFile]
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if exists {
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log.Debug().Msgf("Model '%s' already loaded", o.modelFile)
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ml.mu.Unlock()
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return m, nil
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}
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ml.mu.Unlock()
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var err error
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for _, b := range autoLoadBackends {
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if b == BloomzBackend || b == WhisperBackend || b == RwkvBackend { // do not autoload bloomz/whisper/rwkv
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continue
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}
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log.Debug().Msgf("[%s] Attempting to load", b)
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model, modelerr := ml.BackendLoader(
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WithBackendString(b),
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WithModelFile(o.modelFile),
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WithLoadGRPCOpts(o.gRPCOptions),
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WithThreads(o.threads),
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WithAssetDir(o.assetDir),
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)
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if modelerr == nil && model != nil {
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log.Debug().Msgf("[%s] Loads OK", b)
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return model, nil
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} else if modelerr != nil {
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err = multierror.Append(err, modelerr)
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log.Debug().Msgf("[%s] Fails: %s", b, modelerr.Error())
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}
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}
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return nil, fmt.Errorf("could not load model - all backends returned error: %s", err.Error())
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}
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