LocalAI/core/config/backend_config.go
2024-04-02 19:25:32 +02:00

584 lines
15 KiB
Go

package config
import (
"errors"
"fmt"
"io/fs"
"math/rand"
"os"
"path/filepath"
"sort"
"strings"
"sync"
"github.com/go-skynet/LocalAI/core/schema"
"github.com/go-skynet/LocalAI/pkg/downloader"
"github.com/go-skynet/LocalAI/pkg/utils"
"github.com/rs/zerolog/log"
"gopkg.in/yaml.v3"
"github.com/charmbracelet/glamour"
)
type BackendConfig struct {
schema.PredictionOptions `yaml:"parameters"`
Name string `yaml:"name"`
F16 *bool `yaml:"f16"`
Threads *int `yaml:"threads"`
Debug *bool `yaml:"debug"`
Roles map[string]string `yaml:"roles"`
Embeddings bool `yaml:"embeddings"`
Backend string `yaml:"backend"`
TemplateConfig TemplateConfig `yaml:"template"`
PromptStrings, InputStrings []string `yaml:"-"`
InputToken [][]int `yaml:"-"`
functionCallString, functionCallNameString string `yaml:"-"`
FunctionsConfig Functions `yaml:"function"`
FeatureFlag FeatureFlag `yaml:"feature_flags"` // Feature Flag registry. We move fast, and features may break on a per model/backend basis. Registry for (usually temporary) flags that indicate aborting something early.
// LLM configs (GPT4ALL, Llama.cpp, ...)
LLMConfig `yaml:",inline"`
// AutoGPTQ specifics
AutoGPTQ AutoGPTQ `yaml:"autogptq"`
// Diffusers
Diffusers Diffusers `yaml:"diffusers"`
Step int `yaml:"step"`
// GRPC Options
GRPC GRPC `yaml:"grpc"`
// Vall-e-x
VallE VallE `yaml:"vall-e"`
// CUDA
// Explicitly enable CUDA or not (some backends might need it)
CUDA bool `yaml:"cuda"`
DownloadFiles []File `yaml:"download_files"`
Description string `yaml:"description"`
Usage string `yaml:"usage"`
}
type File struct {
Filename string `yaml:"filename" json:"filename"`
SHA256 string `yaml:"sha256" json:"sha256"`
URI string `yaml:"uri" json:"uri"`
}
type VallE struct {
AudioPath string `yaml:"audio_path"`
}
type FeatureFlag map[string]*bool
func (ff FeatureFlag) Enabled(s string) bool {
v, exist := ff[s]
return exist && v != nil && *v
}
type GRPC struct {
Attempts int `yaml:"attempts"`
AttemptsSleepTime int `yaml:"attempts_sleep_time"`
}
type Diffusers struct {
CUDA bool `yaml:"cuda"`
PipelineType string `yaml:"pipeline_type"`
SchedulerType string `yaml:"scheduler_type"`
EnableParameters string `yaml:"enable_parameters"` // A list of comma separated parameters to specify
CFGScale float32 `yaml:"cfg_scale"` // Classifier-Free Guidance Scale
IMG2IMG bool `yaml:"img2img"` // Image to Image Diffuser
ClipSkip int `yaml:"clip_skip"` // Skip every N frames
ClipModel string `yaml:"clip_model"` // Clip model to use
ClipSubFolder string `yaml:"clip_subfolder"` // Subfolder to use for clip model
ControlNet string `yaml:"control_net"`
}
type LLMConfig struct {
SystemPrompt string `yaml:"system_prompt"`
TensorSplit string `yaml:"tensor_split"`
MainGPU string `yaml:"main_gpu"`
RMSNormEps float32 `yaml:"rms_norm_eps"`
NGQA int32 `yaml:"ngqa"`
PromptCachePath string `yaml:"prompt_cache_path"`
PromptCacheAll bool `yaml:"prompt_cache_all"`
PromptCacheRO bool `yaml:"prompt_cache_ro"`
MirostatETA *float64 `yaml:"mirostat_eta"`
MirostatTAU *float64 `yaml:"mirostat_tau"`
Mirostat *int `yaml:"mirostat"`
NGPULayers *int `yaml:"gpu_layers"`
MMap *bool `yaml:"mmap"`
MMlock *bool `yaml:"mmlock"`
LowVRAM *bool `yaml:"low_vram"`
Grammar string `yaml:"grammar"`
StopWords []string `yaml:"stopwords"`
Cutstrings []string `yaml:"cutstrings"`
TrimSpace []string `yaml:"trimspace"`
TrimSuffix []string `yaml:"trimsuffix"`
ContextSize *int `yaml:"context_size"`
NUMA bool `yaml:"numa"`
LoraAdapter string `yaml:"lora_adapter"`
LoraBase string `yaml:"lora_base"`
LoraScale float32 `yaml:"lora_scale"`
NoMulMatQ bool `yaml:"no_mulmatq"`
DraftModel string `yaml:"draft_model"`
NDraft int32 `yaml:"n_draft"`
Quantization string `yaml:"quantization"`
GPUMemoryUtilization float32 `yaml:"gpu_memory_utilization"` // vLLM
TrustRemoteCode bool `yaml:"trust_remote_code"` // vLLM
EnforceEager bool `yaml:"enforce_eager"` // vLLM
SwapSpace int `yaml:"swap_space"` // vLLM
MaxModelLen int `yaml:"max_model_len"` // vLLM
MMProj string `yaml:"mmproj"`
RopeScaling string `yaml:"rope_scaling"`
ModelType string `yaml:"type"`
YarnExtFactor float32 `yaml:"yarn_ext_factor"`
YarnAttnFactor float32 `yaml:"yarn_attn_factor"`
YarnBetaFast float32 `yaml:"yarn_beta_fast"`
YarnBetaSlow float32 `yaml:"yarn_beta_slow"`
}
type AutoGPTQ struct {
ModelBaseName string `yaml:"model_base_name"`
Device string `yaml:"device"`
Triton bool `yaml:"triton"`
UseFastTokenizer bool `yaml:"use_fast_tokenizer"`
}
type Functions struct {
DisableNoAction bool `yaml:"disable_no_action"`
NoActionFunctionName string `yaml:"no_action_function_name"`
NoActionDescriptionName string `yaml:"no_action_description_name"`
ParallelCalls bool `yaml:"parallel_calls"`
}
type TemplateConfig struct {
Chat string `yaml:"chat"`
ChatMessage string `yaml:"chat_message"`
Completion string `yaml:"completion"`
Edit string `yaml:"edit"`
Functions string `yaml:"function"`
}
func (c *BackendConfig) SetFunctionCallString(s string) {
c.functionCallString = s
}
func (c *BackendConfig) SetFunctionCallNameString(s string) {
c.functionCallNameString = s
}
func (c *BackendConfig) ShouldUseFunctions() bool {
return ((c.functionCallString != "none" || c.functionCallString == "") || c.ShouldCallSpecificFunction())
}
func (c *BackendConfig) ShouldCallSpecificFunction() bool {
return len(c.functionCallNameString) > 0
}
func (c *BackendConfig) FunctionToCall() string {
if c.functionCallNameString != "" &&
c.functionCallNameString != "none" && c.functionCallNameString != "auto" {
return c.functionCallNameString
}
return c.functionCallString
}
func (cfg *BackendConfig) SetDefaults(opts ...ConfigLoaderOption) {
lo := &LoadOptions{}
lo.Apply(opts...)
ctx := lo.ctxSize
threads := lo.threads
f16 := lo.f16
debug := lo.debug
defaultTopP := 0.7
defaultTopK := 80
defaultTemp := 0.9
defaultMaxTokens := 2048
defaultMirostat := 2
defaultMirostatTAU := 5.0
defaultMirostatETA := 0.1
// Try to offload all GPU layers (if GPU is found)
defaultNGPULayers := 99999999
trueV := true
falseV := false
if cfg.Seed == nil {
// random number generator seed
defaultSeed := int(rand.Int31())
cfg.Seed = &defaultSeed
}
if cfg.TopK == nil {
cfg.TopK = &defaultTopK
}
if cfg.MMap == nil {
// MMap is enabled by default
cfg.MMap = &trueV
}
if cfg.MMlock == nil {
// MMlock is disabled by default
cfg.MMlock = &falseV
}
if cfg.TopP == nil {
cfg.TopP = &defaultTopP
}
if cfg.Temperature == nil {
cfg.Temperature = &defaultTemp
}
if cfg.Maxtokens == nil {
cfg.Maxtokens = &defaultMaxTokens
}
if cfg.Mirostat == nil {
cfg.Mirostat = &defaultMirostat
}
if cfg.MirostatETA == nil {
cfg.MirostatETA = &defaultMirostatETA
}
if cfg.MirostatTAU == nil {
cfg.MirostatTAU = &defaultMirostatTAU
}
if cfg.NGPULayers == nil {
cfg.NGPULayers = &defaultNGPULayers
}
if cfg.LowVRAM == nil {
cfg.LowVRAM = &falseV
}
// Value passed by the top level are treated as default (no implicit defaults)
// defaults are set by the user
if ctx == 0 {
ctx = 1024
}
if cfg.ContextSize == nil {
cfg.ContextSize = &ctx
}
if threads == 0 {
// Threads can't be 0
threads = 4
}
if cfg.Threads == nil {
cfg.Threads = &threads
}
if cfg.F16 == nil {
cfg.F16 = &f16
}
if cfg.Debug == nil {
cfg.Debug = &falseV
}
if debug {
cfg.Debug = &trueV
}
}
////// Config Loader ////////
type BackendConfigLoader struct {
configs map[string]BackendConfig
sync.Mutex
}
type LoadOptions struct {
debug bool
threads, ctxSize int
f16 bool
}
func LoadOptionDebug(debug bool) ConfigLoaderOption {
return func(o *LoadOptions) {
o.debug = debug
}
}
func LoadOptionThreads(threads int) ConfigLoaderOption {
return func(o *LoadOptions) {
o.threads = threads
}
}
func LoadOptionContextSize(ctxSize int) ConfigLoaderOption {
return func(o *LoadOptions) {
o.ctxSize = ctxSize
}
}
func LoadOptionF16(f16 bool) ConfigLoaderOption {
return func(o *LoadOptions) {
o.f16 = f16
}
}
type ConfigLoaderOption func(*LoadOptions)
func (lo *LoadOptions) Apply(options ...ConfigLoaderOption) {
for _, l := range options {
l(lo)
}
}
// Load a config file for a model
func (cl *BackendConfigLoader) LoadBackendConfigFileByName(modelName, modelPath string, opts ...ConfigLoaderOption) (*BackendConfig, error) {
// Load a config file if present after the model name
cfg := &BackendConfig{
PredictionOptions: schema.PredictionOptions{
Model: modelName,
},
}
cfgExisting, exists := cl.GetBackendConfig(modelName)
if exists {
cfg = &cfgExisting
} else {
// Try loading a model config file
modelConfig := filepath.Join(modelPath, modelName+".yaml")
if _, err := os.Stat(modelConfig); err == nil {
if err := cl.LoadBackendConfig(
modelConfig, opts...,
); err != nil {
return nil, fmt.Errorf("failed loading model config (%s) %s", modelConfig, err.Error())
}
cfgExisting, exists = cl.GetBackendConfig(modelName)
if exists {
cfg = &cfgExisting
}
}
}
cfg.SetDefaults(opts...)
return cfg, nil
}
func NewBackendConfigLoader() *BackendConfigLoader {
return &BackendConfigLoader{
configs: make(map[string]BackendConfig),
}
}
func ReadBackendConfigFile(file string, opts ...ConfigLoaderOption) ([]*BackendConfig, error) {
c := &[]*BackendConfig{}
f, err := os.ReadFile(file)
if err != nil {
return nil, fmt.Errorf("cannot read config file: %w", err)
}
if err := yaml.Unmarshal(f, c); err != nil {
return nil, fmt.Errorf("cannot unmarshal config file: %w", err)
}
for _, cc := range *c {
cc.SetDefaults(opts...)
}
return *c, nil
}
func ReadBackendConfig(file string, opts ...ConfigLoaderOption) (*BackendConfig, error) {
lo := &LoadOptions{}
lo.Apply(opts...)
c := &BackendConfig{}
f, err := os.ReadFile(file)
if err != nil {
return nil, fmt.Errorf("cannot read config file: %w", err)
}
if err := yaml.Unmarshal(f, c); err != nil {
return nil, fmt.Errorf("cannot unmarshal config file: %w", err)
}
c.SetDefaults(opts...)
return c, nil
}
func (cm *BackendConfigLoader) LoadBackendConfigFile(file string, opts ...ConfigLoaderOption) error {
cm.Lock()
defer cm.Unlock()
c, err := ReadBackendConfigFile(file, opts...)
if err != nil {
return fmt.Errorf("cannot load config file: %w", err)
}
for _, cc := range c {
cm.configs[cc.Name] = *cc
}
return nil
}
func (cl *BackendConfigLoader) LoadBackendConfig(file string, opts ...ConfigLoaderOption) error {
cl.Lock()
defer cl.Unlock()
c, err := ReadBackendConfig(file, opts...)
if err != nil {
return fmt.Errorf("cannot read config file: %w", err)
}
cl.configs[c.Name] = *c
return nil
}
func (cl *BackendConfigLoader) GetBackendConfig(m string) (BackendConfig, bool) {
cl.Lock()
defer cl.Unlock()
v, exists := cl.configs[m]
return v, exists
}
func (cl *BackendConfigLoader) GetAllBackendConfigs() []BackendConfig {
cl.Lock()
defer cl.Unlock()
var res []BackendConfig
for _, v := range cl.configs {
res = append(res, v)
}
sort.SliceStable(res, func(i, j int) bool {
return res[i].Name < res[j].Name
})
return res
}
func (cl *BackendConfigLoader) ListBackendConfigs() []string {
cl.Lock()
defer cl.Unlock()
var res []string
for k := range cl.configs {
res = append(res, k)
}
return res
}
// Preload prepare models if they are not local but url or huggingface repositories
func (cl *BackendConfigLoader) Preload(modelPath string) error {
cl.Lock()
defer cl.Unlock()
status := func(fileName, current, total string, percent float64) {
utils.DisplayDownloadFunction(fileName, current, total, percent)
}
log.Info().Msgf("Preloading models from %s", modelPath)
renderMode := "dark"
if os.Getenv("COLOR") != "" {
renderMode = os.Getenv("COLOR")
}
glamText := func(t string) {
out, err := glamour.Render(t, renderMode)
if err == nil && os.Getenv("NO_COLOR") == "" {
fmt.Println(out)
} else {
fmt.Println(t)
}
}
for i, config := range cl.configs {
// Download files and verify their SHA
for _, file := range config.DownloadFiles {
log.Debug().Msgf("Checking %q exists and matches SHA", file.Filename)
if err := utils.VerifyPath(file.Filename, modelPath); err != nil {
return err
}
// Create file path
filePath := filepath.Join(modelPath, file.Filename)
if err := downloader.DownloadFile(file.URI, filePath, file.SHA256, status); err != nil {
return err
}
}
modelURL := config.PredictionOptions.Model
modelURL = downloader.ConvertURL(modelURL)
if downloader.LooksLikeURL(modelURL) {
// md5 of model name
md5Name := utils.MD5(modelURL)
// check if file exists
if _, err := os.Stat(filepath.Join(modelPath, md5Name)); errors.Is(err, os.ErrNotExist) {
err := downloader.DownloadFile(modelURL, filepath.Join(modelPath, md5Name), "", status)
if err != nil {
return err
}
}
cc := cl.configs[i]
c := &cc
c.PredictionOptions.Model = md5Name
cl.configs[i] = *c
}
if cl.configs[i].Name != "" {
glamText(fmt.Sprintf("**Model name**: _%s_", cl.configs[i].Name))
}
if cl.configs[i].Description != "" {
//glamText("**Description**")
glamText(cl.configs[i].Description)
}
if cl.configs[i].Usage != "" {
//glamText("**Usage**")
glamText(cl.configs[i].Usage)
}
}
return nil
}
// LoadBackendConfigsFromPath reads all the configurations of the models from a path
// (non-recursive)
func (cm *BackendConfigLoader) LoadBackendConfigsFromPath(path string, opts ...ConfigLoaderOption) error {
cm.Lock()
defer cm.Unlock()
entries, err := os.ReadDir(path)
if err != nil {
return err
}
files := make([]fs.FileInfo, 0, len(entries))
for _, entry := range entries {
info, err := entry.Info()
if err != nil {
return err
}
files = append(files, info)
}
for _, file := range files {
// Skip templates, YAML and .keep files
if !strings.Contains(file.Name(), ".yaml") && !strings.Contains(file.Name(), ".yml") {
continue
}
c, err := ReadBackendConfig(filepath.Join(path, file.Name()), opts...)
if err == nil {
cm.configs[c.Name] = *c
}
}
return nil
}