mirror of
https://github.com/mudler/LocalAI.git
synced 2024-12-24 14:56:41 +00:00
af9e5a2d05
* Revert "fix(fncall): fix regression introduced in #1963 (#2048)" This reverts commit6b06d4e0af
. * Revert "fix: action-tmate back to upstream, dead code removal (#2038)" This reverts commitfdec8a9d00
. * Revert "feat(grpc): return consumed token count and update response accordingly (#2035)" This reverts commite843d7df0e
. * Revert "refactor: backend/service split, channel-based llm flow (#1963)" This reverts commiteed5706994
. * feat(grpc): return consumed token count and update response accordingly Fixes: #1920 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
89 lines
2.1 KiB
Go
89 lines
2.1 KiB
Go
package backend
|
|
|
|
import (
|
|
"fmt"
|
|
|
|
"github.com/go-skynet/LocalAI/core/config"
|
|
|
|
"github.com/go-skynet/LocalAI/pkg/grpc"
|
|
model "github.com/go-skynet/LocalAI/pkg/model"
|
|
)
|
|
|
|
func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, backendConfig config.BackendConfig, appConfig *config.ApplicationConfig) (func() ([]float32, error), error) {
|
|
modelFile := backendConfig.Model
|
|
|
|
grpcOpts := gRPCModelOpts(backendConfig)
|
|
|
|
var inferenceModel interface{}
|
|
var err error
|
|
|
|
opts := modelOpts(backendConfig, appConfig, []model.Option{
|
|
model.WithLoadGRPCLoadModelOpts(grpcOpts),
|
|
model.WithThreads(uint32(*backendConfig.Threads)),
|
|
model.WithAssetDir(appConfig.AssetsDestination),
|
|
model.WithModel(modelFile),
|
|
model.WithContext(appConfig.Context),
|
|
})
|
|
|
|
if backendConfig.Backend == "" {
|
|
inferenceModel, err = loader.GreedyLoader(opts...)
|
|
} else {
|
|
opts = append(opts, model.WithBackendString(backendConfig.Backend))
|
|
inferenceModel, err = loader.BackendLoader(opts...)
|
|
}
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
var fn func() ([]float32, error)
|
|
switch model := inferenceModel.(type) {
|
|
case grpc.Backend:
|
|
fn = func() ([]float32, error) {
|
|
predictOptions := gRPCPredictOpts(backendConfig, loader.ModelPath)
|
|
if len(tokens) > 0 {
|
|
embeds := []int32{}
|
|
|
|
for _, t := range tokens {
|
|
embeds = append(embeds, int32(t))
|
|
}
|
|
predictOptions.EmbeddingTokens = embeds
|
|
|
|
res, err := model.Embeddings(appConfig.Context, predictOptions)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
return res.Embeddings, nil
|
|
}
|
|
predictOptions.Embeddings = s
|
|
|
|
res, err := model.Embeddings(appConfig.Context, predictOptions)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
return res.Embeddings, nil
|
|
}
|
|
default:
|
|
fn = func() ([]float32, error) {
|
|
return nil, fmt.Errorf("embeddings not supported by the backend")
|
|
}
|
|
}
|
|
|
|
return func() ([]float32, error) {
|
|
embeds, err := fn()
|
|
if err != nil {
|
|
return embeds, err
|
|
}
|
|
// Remove trailing 0s
|
|
for i := len(embeds) - 1; i >= 0; i-- {
|
|
if embeds[i] == 0.0 {
|
|
embeds = embeds[:i]
|
|
} else {
|
|
break
|
|
}
|
|
}
|
|
return embeds, nil
|
|
}, nil
|
|
}
|