Request and model concurrency

This change adds support for multiple concurrent requests, as well as
loading multiple models by spawning multiple runners. The default
settings are currently set at 1 concurrent request per model and only 1
loaded model at a time, but these can be adjusted by setting
OLLAMA_NUM_PARALLEL and OLLAMA_MAX_LOADED_MODELS.
This commit is contained in:
Daniel Hiltgen
2024-03-30 09:50:05 -07:00
parent ee448deaba
commit 34b9db5afc
30 changed files with 2572 additions and 1387 deletions

View File

@@ -15,11 +15,8 @@ import (
"os"
"os/signal"
"path/filepath"
"reflect"
"runtime"
"strconv"
"strings"
"sync"
"syscall"
"time"
@@ -38,7 +35,8 @@ import (
var mode string = gin.DebugMode
type Server struct {
addr net.Addr
addr net.Addr
sched *Scheduler
}
func init() {
@@ -53,88 +51,8 @@ func init() {
gin.SetMode(mode)
}
var loaded struct {
mu sync.Mutex
llama *llm.LlamaServer
expireTimer *time.Timer
model string
adapters []string
projectors []string
*api.Options
}
var defaultSessionDuration = 5 * time.Minute
func unload() {
if loaded.llama != nil {
loaded.llama.Close()
}
loaded.llama = nil
loaded.model = ""
loaded.adapters = nil
loaded.projectors = nil
loaded.Options = nil
}
// load a model into memory if it is not already loaded, it is up to the caller to lock loaded.mu before calling this function
func load(c *gin.Context, model *Model, opts api.Options, sessionDuration time.Duration) error {
ctx, cancel := context.WithTimeout(c, 10*time.Second)
defer cancel()
needLoad := loaded.llama == nil || // is there a model loaded?
loaded.model != model.ModelPath || // has the base model changed?
!reflect.DeepEqual(loaded.adapters, model.AdapterPaths) || // have the adapters changed?
!reflect.DeepEqual(loaded.projectors, model.ProjectorPaths) || // have the adapters changed?
!reflect.DeepEqual(loaded.Options.Runner, opts.Runner) || // have the runner options changed?
loaded.llama.Ping(ctx) != nil
if needLoad {
if loaded.llama != nil {
slog.Info("changing loaded model")
unload()
}
llama, err := llm.NewLlamaServer(model.ModelPath, model.AdapterPaths, model.ProjectorPaths, opts)
if err != nil {
// some older models are not compatible with newer versions of llama.cpp
// show a generalized compatibility error until there is a better way to
// check for model compatibility
if errors.Is(llm.ErrUnsupportedFormat, err) || strings.Contains(err.Error(), "failed to load model") {
err = fmt.Errorf("%v: this model may be incompatible with your version of Ollama. If you previously pulled this model, try updating it by running `ollama pull %s`", err, model.ShortName)
}
return err
}
loaded.model = model.ModelPath
loaded.adapters = model.AdapterPaths
loaded.projectors = model.ProjectorPaths
loaded.llama = llama
loaded.Options = &opts
if err = llama.WaitUntilRunning(); err != nil {
slog.Error("error loading llama server", "error", err)
unload()
return err
}
}
if loaded.expireTimer == nil {
loaded.expireTimer = time.AfterFunc(sessionDuration, func() {
loaded.mu.Lock()
defer loaded.mu.Unlock()
unload()
})
}
loaded.expireTimer.Reset(sessionDuration)
return nil
}
func modelOptions(model *Model, requestOpts map[string]interface{}) (api.Options, error) {
opts := api.DefaultOptions()
if err := opts.FromMap(model.Options); err != nil {
@@ -154,9 +72,7 @@ func isSupportedImageType(image []byte) bool {
return slices.Contains(allowedTypes, contentType)
}
func GenerateHandler(c *gin.Context) {
loaded.mu.Lock()
defer loaded.mu.Unlock()
func (s *Server) GenerateHandler(c *gin.Context) {
checkpointStart := time.Now()
var req api.GenerateRequest
@@ -224,7 +140,11 @@ func GenerateHandler(c *gin.Context) {
sessionDuration = req.KeepAlive.Duration
}
if err := load(c, model, opts, sessionDuration); err != nil {
rCh, eCh := s.sched.GetRunner(c.Request.Context(), model, opts, sessionDuration)
var runner *runnerRef
select {
case runner = <-rCh:
case err = <-eCh:
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
@@ -275,7 +195,7 @@ func GenerateHandler(c *gin.Context) {
sb.Reset()
if req.Context != nil {
prev, err := loaded.llama.Detokenize(c.Request.Context(), req.Context)
prev, err := runner.llama.Detokenize(c.Request.Context(), req.Context)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
@@ -297,9 +217,6 @@ func GenerateHandler(c *gin.Context) {
defer close(ch)
fn := func(r llm.CompletionResponse) {
// Update model expiration
loaded.expireTimer.Reset(sessionDuration)
// Build up the full response
if _, err := generated.WriteString(r.Content); err != nil {
ch <- gin.H{"error": err.Error()}
@@ -331,7 +248,7 @@ func GenerateHandler(c *gin.Context) {
}
// TODO (jmorganca): encode() should not strip special tokens
tokens, err := loaded.llama.Tokenize(c.Request.Context(), p)
tokens, err := runner.llama.Tokenize(c.Request.Context(), p)
if err != nil {
ch <- gin.H{"error": err.Error()}
return
@@ -359,7 +276,7 @@ func GenerateHandler(c *gin.Context) {
Images: images,
Options: opts,
}
if err := loaded.llama.Completion(c.Request.Context(), req, fn); err != nil {
if err := runner.llama.Completion(c.Request.Context(), req, fn); err != nil {
ch <- gin.H{"error": err.Error()}
}
}()
@@ -421,10 +338,7 @@ func getDefaultSessionDuration() time.Duration {
return defaultSessionDuration
}
func EmbeddingsHandler(c *gin.Context) {
loaded.mu.Lock()
defer loaded.mu.Unlock()
func (s *Server) EmbeddingsHandler(c *gin.Context) {
var req api.EmbeddingRequest
err := c.ShouldBindJSON(&req)
switch {
@@ -469,7 +383,11 @@ func EmbeddingsHandler(c *gin.Context) {
sessionDuration = req.KeepAlive.Duration
}
if err := load(c, model, opts, sessionDuration); err != nil {
rCh, eCh := s.sched.GetRunner(c.Request.Context(), model, opts, sessionDuration)
var runner *runnerRef
select {
case runner = <-rCh:
case err = <-eCh:
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
@@ -480,7 +398,7 @@ func EmbeddingsHandler(c *gin.Context) {
return
}
embedding, err := loaded.llama.Embedding(c.Request.Context(), req.Prompt)
embedding, err := runner.llama.Embedding(c.Request.Context(), req.Prompt)
if err != nil {
slog.Info(fmt.Sprintf("embedding generation failed: %v", err))
c.JSON(http.StatusInternalServerError, gin.H{"error": "failed to generate embedding"})
@@ -493,7 +411,7 @@ func EmbeddingsHandler(c *gin.Context) {
c.JSON(http.StatusOK, resp)
}
func PullModelHandler(c *gin.Context) {
func (s *Server) PullModelHandler(c *gin.Context) {
var req api.PullRequest
err := c.ShouldBindJSON(&req)
switch {
@@ -542,7 +460,7 @@ func PullModelHandler(c *gin.Context) {
streamResponse(c, ch)
}
func PushModelHandler(c *gin.Context) {
func (s *Server) PushModelHandler(c *gin.Context) {
var req api.PushRequest
err := c.ShouldBindJSON(&req)
switch {
@@ -591,7 +509,7 @@ func PushModelHandler(c *gin.Context) {
streamResponse(c, ch)
}
func CreateModelHandler(c *gin.Context) {
func (s *Server) CreateModelHandler(c *gin.Context) {
var req api.CreateRequest
err := c.ShouldBindJSON(&req)
switch {
@@ -664,7 +582,7 @@ func CreateModelHandler(c *gin.Context) {
streamResponse(c, ch)
}
func DeleteModelHandler(c *gin.Context) {
func (s *Server) DeleteModelHandler(c *gin.Context) {
var req api.DeleteRequest
err := c.ShouldBindJSON(&req)
switch {
@@ -709,7 +627,7 @@ func DeleteModelHandler(c *gin.Context) {
c.JSON(http.StatusOK, nil)
}
func ShowModelHandler(c *gin.Context) {
func (s *Server) ShowModelHandler(c *gin.Context) {
var req api.ShowRequest
err := c.ShouldBindJSON(&req)
switch {
@@ -809,7 +727,7 @@ func GetModelInfo(req api.ShowRequest) (*api.ShowResponse, error) {
return resp, nil
}
func ListModelsHandler(c *gin.Context) {
func (s *Server) ListModelsHandler(c *gin.Context) {
models := make([]api.ModelResponse, 0)
manifestsPath, err := GetManifestPath()
if err != nil {
@@ -869,7 +787,7 @@ func ListModelsHandler(c *gin.Context) {
c.JSON(http.StatusOK, api.ListResponse{Models: models})
}
func CopyModelHandler(c *gin.Context) {
func (s *Server) CopyModelHandler(c *gin.Context) {
var req api.CopyRequest
err := c.ShouldBindJSON(&req)
switch {
@@ -901,7 +819,7 @@ func CopyModelHandler(c *gin.Context) {
}
}
func HeadBlobHandler(c *gin.Context) {
func (s *Server) HeadBlobHandler(c *gin.Context) {
path, err := GetBlobsPath(c.Param("digest"))
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
@@ -916,7 +834,7 @@ func HeadBlobHandler(c *gin.Context) {
c.Status(http.StatusOK)
}
func CreateBlobHandler(c *gin.Context) {
func (s *Server) CreateBlobHandler(c *gin.Context) {
path, err := GetBlobsPath(c.Param("digest"))
if err != nil {
c.AbortWithStatusJSON(http.StatusBadRequest, gin.H{"error": err.Error()})
@@ -1063,27 +981,27 @@ func (s *Server) GenerateRoutes() http.Handler {
allowedHostsMiddleware(s.addr),
)
r.POST("/api/pull", PullModelHandler)
r.POST("/api/generate", GenerateHandler)
r.POST("/api/chat", ChatHandler)
r.POST("/api/embeddings", EmbeddingsHandler)
r.POST("/api/create", CreateModelHandler)
r.POST("/api/push", PushModelHandler)
r.POST("/api/copy", CopyModelHandler)
r.DELETE("/api/delete", DeleteModelHandler)
r.POST("/api/show", ShowModelHandler)
r.POST("/api/blobs/:digest", CreateBlobHandler)
r.HEAD("/api/blobs/:digest", HeadBlobHandler)
r.POST("/api/pull", s.PullModelHandler)
r.POST("/api/generate", s.GenerateHandler)
r.POST("/api/chat", s.ChatHandler)
r.POST("/api/embeddings", s.EmbeddingsHandler)
r.POST("/api/create", s.CreateModelHandler)
r.POST("/api/push", s.PushModelHandler)
r.POST("/api/copy", s.CopyModelHandler)
r.DELETE("/api/delete", s.DeleteModelHandler)
r.POST("/api/show", s.ShowModelHandler)
r.POST("/api/blobs/:digest", s.CreateBlobHandler)
r.HEAD("/api/blobs/:digest", s.HeadBlobHandler)
// Compatibility endpoints
r.POST("/v1/chat/completions", openai.Middleware(), ChatHandler)
r.POST("/v1/chat/completions", openai.Middleware(), s.ChatHandler)
for _, method := range []string{http.MethodGet, http.MethodHead} {
r.Handle(method, "/", func(c *gin.Context) {
c.String(http.StatusOK, "Ollama is running")
})
r.Handle(method, "/api/tags", ListModelsHandler)
r.Handle(method, "/api/tags", s.ListModelsHandler)
r.Handle(method, "/api/version", func(c *gin.Context) {
c.JSON(http.StatusOK, gin.H{"version": version.Version})
})
@@ -1137,7 +1055,9 @@ func Serve(ln net.Listener) error {
}
}
s := &Server{addr: ln.Addr()}
ctx, done := context.WithCancel(context.Background())
sched := InitScheduler(ctx)
s := &Server{addr: ln.Addr(), sched: sched}
r := s.GenerateRoutes()
slog.Info(fmt.Sprintf("Listening on %s (version %s)", ln.Addr(), version.Version))
@@ -1150,7 +1070,8 @@ func Serve(ln net.Listener) error {
signal.Notify(signals, syscall.SIGINT, syscall.SIGTERM)
go func() {
<-signals
unload()
done()
sched.unloadAllRunners()
gpu.Cleanup()
os.Exit(0)
}()
@@ -1158,12 +1079,12 @@ func Serve(ln net.Listener) error {
if err := llm.Init(); err != nil {
return fmt.Errorf("unable to initialize llm library %w", err)
}
if runtime.GOOS == "linux" { // TODO - windows too
// check compatibility to log warnings
if _, err := gpu.CheckVRAM(); err != nil {
slog.Info(err.Error())
}
}
s.sched.Run(ctx)
// At startup we retrieve GPU information so we can get log messages before loading a model
// This will log warnings to the log in case we have problems with detected GPUs
_ = gpu.GetGPUInfo()
return srvr.Serve(ln)
}
@@ -1219,9 +1140,9 @@ func streamResponse(c *gin.Context, ch chan any) {
}
// ChatPrompt builds up a prompt from a series of messages for the currently `loaded` model
func chatPrompt(ctx context.Context, template string, messages []api.Message, numCtx int) (string, error) {
func chatPrompt(ctx context.Context, runner *runnerRef, template string, messages []api.Message, numCtx int) (string, error) {
encode := func(s string) ([]int, error) {
return loaded.llama.Tokenize(ctx, s)
return runner.llama.Tokenize(ctx, s)
}
prompt, err := ChatPrompt(template, messages, numCtx, encode)
@@ -1232,10 +1153,7 @@ func chatPrompt(ctx context.Context, template string, messages []api.Message, nu
return prompt, nil
}
func ChatHandler(c *gin.Context) {
loaded.mu.Lock()
defer loaded.mu.Unlock()
func (s *Server) ChatHandler(c *gin.Context) {
checkpointStart := time.Now()
var req api.ChatRequest
@@ -1292,7 +1210,11 @@ func ChatHandler(c *gin.Context) {
sessionDuration = req.KeepAlive.Duration
}
if err := load(c, model, opts, sessionDuration); err != nil {
rCh, eCh := s.sched.GetRunner(c.Request.Context(), model, opts, sessionDuration)
var runner *runnerRef
select {
case runner = <-rCh:
case err = <-eCh:
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
@@ -1309,7 +1231,7 @@ func ChatHandler(c *gin.Context) {
}, req.Messages...)
}
prompt, err := chatPrompt(c.Request.Context(), model.Template, req.Messages, opts.NumCtx)
prompt, err := chatPrompt(c.Request.Context(), runner, model.Template, req.Messages, opts.NumCtx)
if err != nil {
c.JSON(http.StatusBadRequest, gin.H{"error": err.Error()})
return
@@ -1352,8 +1274,6 @@ func ChatHandler(c *gin.Context) {
defer close(ch)
fn := func(r llm.CompletionResponse) {
// Update model expiration
loaded.expireTimer.Reset(sessionDuration)
resp := api.ChatResponse{
Model: req.Model,
@@ -1376,7 +1296,7 @@ func ChatHandler(c *gin.Context) {
ch <- resp
}
if err := loaded.llama.Completion(c.Request.Context(), llm.CompletionRequest{
if err := runner.llama.Completion(c.Request.Context(), llm.CompletionRequest{
Prompt: prompt,
Format: req.Format,
Images: images,

525
server/sched.go Normal file
View File

@@ -0,0 +1,525 @@
package server
import (
"context"
"errors"
"fmt"
"log/slog"
"os"
"reflect"
"sort"
"strconv"
"strings"
"sync"
"time"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/format"
"github.com/ollama/ollama/gpu"
"github.com/ollama/ollama/llm"
"golang.org/x/exp/slices"
)
type LlmRequest struct {
ctx context.Context //nolint:containedctx
model *Model
ggml *llm.GGML // TODO - how large is this, and do we need to free it after we've finished loading?
opts api.Options
sessionDuration time.Duration
successCh chan *runnerRef
errCh chan error
}
type Scheduler struct {
pendingReqCh chan *LlmRequest
finishedReqCh chan *LlmRequest
expiredCh chan *runnerRef
unloadedCh chan interface{}
loaded map[string]*runnerRef
loadedMu sync.Mutex
loadFn func(req *LlmRequest, gpus gpu.GpuInfoList)
newServerFn func(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options) (llm.LlamaServer, error)
getGpuFn func() gpu.GpuInfoList
}
// TODO set this to zero after a release or two, to enable multiple models by default
var loadedMax = 1 // Maximum runners; < 1 maps to as many as will fit in VRAM (unlimited for CPU runners)
var maxQueuedRequests = 10 // TODO configurable
func InitScheduler(ctx context.Context) *Scheduler {
maxRunners := os.Getenv("OLLAMA_MAX_LOADED_MODELS")
if maxRunners != "" {
m, err := strconv.Atoi(maxRunners)
if err != nil {
slog.Error("invalid setting", "OLLAMA_MAX_LOADED_MODELS", maxRunners, "error", err)
} else {
loadedMax = m
}
}
sched := &Scheduler{
pendingReqCh: make(chan *LlmRequest, maxQueuedRequests),
finishedReqCh: make(chan *LlmRequest, maxQueuedRequests),
expiredCh: make(chan *runnerRef, maxQueuedRequests),
unloadedCh: make(chan interface{}, maxQueuedRequests),
loaded: make(map[string]*runnerRef),
newServerFn: llm.NewLlamaServer,
getGpuFn: gpu.GetGPUInfo,
}
sched.loadFn = sched.load
return sched
}
// context must be canceled to decrement ref count and release the runner
func (s *Scheduler) GetRunner(c context.Context, model *Model, opts api.Options, sessionDuration time.Duration) (chan *runnerRef, chan error) {
ggml, err := llm.LoadModel(model.ModelPath)
req := &LlmRequest{
ctx: c,
model: model,
ggml: ggml,
opts: opts,
sessionDuration: sessionDuration,
successCh: make(chan *runnerRef),
errCh: make(chan error, 1),
}
if err != nil {
req.errCh <- err
return req.successCh, req.errCh
}
select {
case s.pendingReqCh <- req:
default:
req.errCh <- fmt.Errorf("server busy, please try again. maximum pending requests exceeded")
}
return req.successCh, req.errCh
}
// Returns immediately, spawns go routines for the scheduler which will shutdown when ctx is done
func (s *Scheduler) Run(ctx context.Context) {
slog.Debug("starting llm scheduler")
go func() {
s.processPending(ctx)
}()
go func() {
s.processCompleted(ctx)
}()
}
func (s *Scheduler) processPending(ctx context.Context) {
for {
select {
case <-ctx.Done():
slog.Debug("shutting down scheduler pending loop")
return
case pending := <-s.pendingReqCh:
// Block other requests until we get this pending request running
for {
var runnerToExpire *runnerRef
s.loadedMu.Lock()
runner := s.loaded[pending.model.ModelPath]
loadedCount := len(s.loaded)
s.loadedMu.Unlock()
if runner != nil {
if runner.needsReload(ctx, pending) {
runnerToExpire = runner
} else {
// Runner is usable, return it
pending.useLoadedRunner(runner, s.finishedReqCh)
break
}
} else if loadedCount == 0 {
slog.Debug("loading first model", "model", pending.model.ModelPath)
gpus := s.getGpuFn()
g := pickBestFitGPUs(pending, gpus)
if g != nil {
gpus = g
}
s.loadFn(pending, gpus)
break
} else if loadedMax > 0 && loadedCount >= loadedMax {
slog.Debug("max runners achieved, unloading one to make room", "runner_count", loadedCount)
runnerToExpire = s.findRunnerToUnload(pending)
} else {
// More than one loaded model, so we have to see if the new one fits
// Get a refreshed GPU list
gpus := s.getGpuFn()
// Update free memory from currently loaded models
s.updateFreeSpace(gpus)
gpus = pickBestFitGPUs(pending, gpus)
if gpus != nil {
slog.Debug("new model fits with existing models, loading")
s.loadFn(pending, gpus)
break
}
runnerToExpire = s.findRunnerToUnload(pending)
}
if runnerToExpire == nil {
// Shouildn't happen
slog.Error("runner to expire was nil!")
continue
}
// Trigger an expiration to unload once it's done
runnerToExpire.refMu.Lock()
slog.Debug("resetting model to expire immediately to make room", "model", runnerToExpire.model, "refCount", runnerToExpire.refCount)
if runnerToExpire.expireTimer != nil {
runnerToExpire.expireTimer.Stop()
runnerToExpire.expireTimer = nil
}
runnerToExpire.sessionDuration = 0
if runnerToExpire.refCount <= 0 {
s.expiredCh <- runnerToExpire
}
runnerToExpire.refMu.Unlock()
// Wait for the unload to happen
// Note: at this point we're queueing up all incoming requests, even if they were for
// a different model that's loaded and not scheduled to be removed.
slog.Debug("waiting for pending requests to complete and unload to occur", "model", runnerToExpire.model)
select {
case <-ctx.Done():
slog.Debug("shutting down scheduler pending loop")
return
case <-s.unloadedCh:
slog.Debug("unload completed", "model", runnerToExpire.model)
continue
}
}
case <-s.unloadedCh:
// An unload request when there are no pending request can be ignored
slog.Debug("ignoring unload event with no pending requests")
}
}
}
func (s *Scheduler) processCompleted(ctx context.Context) {
// Process completed requests, expired timers, and unloading models
for {
select {
case <-ctx.Done():
slog.Debug("shutting down scheduler completed loop")
return
case finished := <-s.finishedReqCh:
s.loadedMu.Lock()
runner := s.loaded[finished.model.ModelPath]
s.loadedMu.Unlock()
if runner == nil {
slog.Error("finished requeset signal received after model unloaded", "model", finished.model.ModelPath)
continue
}
runner.refMu.Lock()
runner.refCount--
if runner.refCount <= 0 {
if runner.sessionDuration <= 0 {
slog.Debug("runner with zero duration has gone idle, expiring to unload", "model", runner.model)
if runner.expireTimer != nil {
runner.expireTimer.Stop()
runner.expireTimer = nil
}
s.expiredCh <- runner
} else if runner.expireTimer == nil {
slog.Debug("runner with non-zero duration has gone idle, adding timer", "model", runner.model, "duration", runner.sessionDuration)
runner.expireTimer = time.AfterFunc(runner.sessionDuration, func() {
slog.Debug("timer expired, expiring to unload", "model", runner.model)
runner.refMu.Lock()
defer runner.refMu.Unlock()
if runner.expireTimer != nil {
runner.expireTimer.Stop()
}
s.expiredCh <- runner
})
} else {
slog.Debug("runner with non-zero duration has gone idle, resetting timer", "model", runner.model, "duration", runner.sessionDuration)
runner.expireTimer.Reset(runner.sessionDuration)
}
}
slog.Debug("after processing request finished event", "model", runner.model, "refCount", runner.refCount)
runner.refMu.Unlock()
case runner := <-s.expiredCh:
slog.Debug("runner expired event received", "model", runner.model)
runner.refMu.Lock()
if runner.refCount > 0 {
// Shouldn't happen, but safeguard to ensure no leaked runners
slog.Debug("expired event with positive ref count, retrying", "model", runner.model, "refCount", runner.refCount)
go func(runner *runnerRef) {
// We can't unload yet, but want to as soon as the current request completes
// So queue up another expired event
time.Sleep(10 * time.Millisecond)
s.expiredCh <- runner
}(runner)
runner.refMu.Unlock()
continue
}
slog.Debug("got lock to unload", "model", runner.model)
runner.unload()
s.loadedMu.Lock()
delete(s.loaded, runner.model)
s.loadedMu.Unlock()
slog.Debug("runner released", "model", runner.model)
runner.refMu.Unlock()
slog.Debug("sending an unloaded event", "model", runner.model)
s.unloadedCh <- struct{}{}
}
}
}
// Complete the pending request and send the runner back to the requester
// Wires up a finished event after the request context is completed
// Updates session duration, and resets expiration timer
func (pending *LlmRequest) useLoadedRunner(runner *runnerRef, finished chan *LlmRequest) {
runner.refMu.Lock()
defer runner.refMu.Unlock()
runner.refCount++
runner.sessionDuration = pending.sessionDuration
pending.successCh <- runner
go func() {
<-pending.ctx.Done()
slog.Debug("context for request finished")
finished <- pending
}()
}
func (s *Scheduler) load(req *LlmRequest, gpus gpu.GpuInfoList) {
llama, err := s.newServerFn(gpus, req.model.ModelPath, req.ggml, req.model.AdapterPaths, req.model.ProjectorPaths, req.opts)
if err != nil {
// some older models are not compatible with newer versions of llama.cpp
// show a generalized compatibility error until there is a better way to
// check for model compatibility
if errors.Is(llm.ErrUnsupportedFormat, err) || strings.Contains(err.Error(), "failed to load model") {
err = fmt.Errorf("%v: this model may be incompatible with your version of Ollama. If you previously pulled this model, try updating it by running `ollama pull %s`", err, req.model.ShortName)
}
slog.Info("NewLlamaServer failed", "model", req.model.ModelPath, "error", err)
req.errCh <- err
return
}
runner := &runnerRef{}
runner.model = req.model.ModelPath
runner.adapters = req.model.AdapterPaths
runner.projectors = req.model.ProjectorPaths
runner.llama = llama
runner.Options = &req.opts
runner.sessionDuration = req.sessionDuration
runner.gpus = gpus
runner.estimatedVRAM = llama.EstimatedVRAM()
runner.loading = true
runner.refCount = 1
runner.refMu.Lock()
s.loadedMu.Lock()
s.loaded[req.model.ModelPath] = runner
slog.Info("loaded runners", "count", len(s.loaded))
s.loadedMu.Unlock()
go func() {
defer runner.refMu.Unlock()
if err = llama.WaitUntilRunning(req.ctx); err != nil {
slog.Error("error loading llama server", "error", err)
runner.refCount--
req.errCh <- err
slog.Debug("triggering expiration for failed load", "model", runner.model)
s.expiredCh <- runner
return
}
slog.Debug("finished setting up runner", "model", req.model.ModelPath)
runner.loading = false
go func() {
<-req.ctx.Done()
slog.Debug("context for request finished")
s.finishedReqCh <- req
}()
req.successCh <- runner
}()
}
func (s *Scheduler) updateFreeSpace(allGpus gpu.GpuInfoList) {
type predKey struct {
Library string
ID string
}
predMap := map[predKey]uint64{} // Sum up the total predicted usage per GPU for all runners
s.loadedMu.Lock()
for _, r := range s.loaded {
r.refMu.Lock()
gpuIDs := make([]string, 0, len(r.gpus))
if r.llama != nil {
// TODO this should be broken down by GPU instead of assuming uniform spread
estimatedVRAMPerGPU := r.llama.EstimatedVRAM() / uint64(len(r.gpus))
for _, gpu := range r.gpus {
gpuIDs = append(gpuIDs, gpu.ID)
}
for _, gpu := range allGpus {
if slices.Contains(gpuIDs, gpu.ID) {
predMap[predKey{gpu.Library, gpu.ID}] += estimatedVRAMPerGPU
}
}
} else {
slog.Warn("unexpected nil runner reference, memory prediction may be incorrect")
}
r.refMu.Unlock()
}
s.loadedMu.Unlock()
// Now that we've summed up all the GPU usage predictions across all the loaded runners, update the gpu list
for i := range allGpus {
if p, ok := predMap[predKey{allGpus[i].Library, allGpus[i].ID}]; ok {
slog.Debug("gpu reported", "gpu", allGpus[i].ID, "library", allGpus[i].Library, "available", format.HumanBytes2(allGpus[i].FreeMemory))
if p > allGpus[i].TotalMemory {
// Shouldn't happen
slog.Warn("predicted usage exceeds VRAM", "gpu", allGpus[i].ID, "totalMemory", allGpus[i].TotalMemory, "predicted", p)
allGpus[i].FreeMemory = 0
} else if (allGpus[i].TotalMemory - p) < allGpus[i].FreeMemory { // predicted free is smaller than reported free, use it
// TODO maybe we should just always trust our numbers, since cuda's free memory reporting is laggy
// and we might unload models we didn't actually need to. The risk is if some other GPU intensive app is loaded
// after we start our first runner, then we'll never acount for that, so picking the smallest free value seems prudent.
allGpus[i].FreeMemory = allGpus[i].TotalMemory - p
}
slog.Info("updated VRAM", "gpu", allGpus[i].ID, "library", allGpus[i].Library, "total", format.HumanBytes2(allGpus[i].TotalMemory), "available", format.HumanBytes2(allGpus[i].FreeMemory))
}
}
}
type runnerRef struct {
refMu sync.Mutex
// refCond sync.Cond // Signaled on transition from 1 -> 0 refCount
refCount uint // prevent unloading if > 0
// unloading bool // set to true when we are trying to unload the runner
llama llm.LlamaServer
loading bool // True only during initial load, then false forever
gpus gpu.GpuInfoList // Recorded at time of provisioning
estimatedVRAM uint64
sessionDuration time.Duration
expireTimer *time.Timer
model string
adapters []string
projectors []string
*api.Options
}
// The refMu must already be held when calling unload
func (runner *runnerRef) unload() {
if runner.llama != nil {
runner.llama.Close()
}
runner.llama = nil
runner.adapters = nil
runner.projectors = nil
runner.Options = nil
runner.gpus = nil
}
func (runner *runnerRef) needsReload(ctx context.Context, req *LlmRequest) bool {
slog.Debug("evaluating already loaded", "model", req.model.ModelPath)
runner.refMu.Lock()
defer runner.refMu.Unlock()
// Ignore the NumGPU settings for comparison
optsExisting := runner.Options.Runner
optsExisting.NumGPU = -1
optsNew := req.opts.Runner
optsNew.NumGPU = -1
timeout := 10 * time.Second
if runner.loading {
timeout = 2 * time.Minute // Initial load can take a long time for big models on slow systems...
}
ctx, cancel := context.WithTimeout(ctx, timeout) // BUG -
defer cancel()
if !reflect.DeepEqual(runner.adapters, req.model.AdapterPaths) || // have the adapters changed?
!reflect.DeepEqual(runner.projectors, req.model.ProjectorPaths) || // have the projectors changed?
!reflect.DeepEqual(optsExisting, optsNew) || // have the runner options changed?
runner.llama.Ping(ctx) != nil {
return true
}
return false
}
type ByDuration []*runnerRef
func (a ByDuration) Len() int { return len(a) }
func (a ByDuration) Swap(i, j int) { a[i], a[j] = a[j], a[i] }
func (a ByDuration) Less(i, j int) bool {
// uint64 to turn negative time (never unload) to largest
return uint64(a[i].sessionDuration) < uint64(a[j].sessionDuration)
}
// TODO - future consideration to pick runners based on size
// type BySize []*runnerRef
// func (a BySize) Len() int { return len(a) }
// func (a BySize) Swap(i, j int) { a[i], a[j] = a[j], a[i] }
// func (a BySize) Less(i, j int) bool { return a[i].estimatedVRAM < a[j].estimatedVRAM }
// pickBestFitGPUs will try to find the optimal placement of the model in the available GPUs where the model fully fits
// If the model can not be fit fully within the available GPU(s) nil is returned
func pickBestFitGPUs(req *LlmRequest, gpus gpu.GpuInfoList) gpu.GpuInfoList {
var estimatedVRAM uint64
for _, gl := range gpus.ByLibrary() {
var ok bool
sgl := append(make(gpu.GpuInfoList, 0, len(gl)), gl...)
// TODO - potentially sort by performance capability, existing models loaded, etc.
// Note: at present, this will favor more VRAM over faster GPU speed in mixed setups
sort.Sort(sort.Reverse(gpu.ByFreeMemory(sgl)))
// First attempt to fit the model into a single GPU
for _, g := range sgl {
if ok, estimatedVRAM = llm.PredictServerFit([]gpu.GpuInfo{g}, req.ggml, req.model.AdapterPaths, req.model.ProjectorPaths, req.opts); ok {
slog.Debug("new model will fit in available VRAM in single GPU, loading", "model", req.model.ModelPath, "gpu", g.ID, "available", g.FreeMemory, "required", format.HumanBytes2(estimatedVRAM))
return []gpu.GpuInfo{g}
}
}
// TODO future refinements
// - if multiple Libraries, see if any single GPU in any Library will fit
// - try subsets of GPUs instead of just falling back to 1 or all in a family
// Now try all the GPUs
if ok, estimatedVRAM = llm.PredictServerFit(gl, req.ggml, req.model.AdapterPaths, req.model.ProjectorPaths, req.opts); ok {
slog.Debug("new model will fit in available VRAM, loading", "model", req.model.ModelPath, "library", gl[0].Library, "required", format.HumanBytes2(estimatedVRAM))
return gl
}
}
return nil
}
// findRunnerToUnload finds a runner to unload to make room for a new model
func (s *Scheduler) findRunnerToUnload(req *LlmRequest) *runnerRef {
s.loadedMu.Lock()
runnerList := make([]*runnerRef, 0, len(s.loaded))
for _, r := range s.loaded {
runnerList = append(runnerList, r)
}
s.loadedMu.Unlock()
// In the future we can enhance the algorithm to be smarter about picking the optimal runner to unload
// e.g., if we have multiple options, will one make room for the request?
sort.Sort(ByDuration(runnerList))
// First try to find a runner that's already idle
for _, runner := range runnerList {
runner.refMu.Lock()
rc := runner.refCount
runner.refMu.Unlock()
if rc == 0 {
slog.Debug("found an idle runner to unload")
return runner
}
}
// None appear idle, just wait for the one with the shortest duration
slog.Debug("no idle runners, picking the shortest duration", "count", len(runnerList))
return runnerList[0]
}
func (s *Scheduler) unloadAllRunners() {
s.loadedMu.Lock()
defer s.loadedMu.Unlock()
for model, runner := range s.loaded {
if runner.llama != nil {
slog.Debug("shutting down runner", "model", model)
runner.llama.Close()
}
}
}

553
server/sched_test.go Normal file
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@@ -0,0 +1,553 @@
package server
import (
"bytes"
"context"
"encoding/binary"
"fmt"
"log/slog"
"os"
"testing"
"time"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/app/lifecycle"
"github.com/ollama/ollama/format"
"github.com/ollama/ollama/gpu"
"github.com/ollama/ollama/llm"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func init() {
os.Setenv("OLLAMA_DEBUG", "1")
lifecycle.InitLogging()
}
func TestInitScheduler(t *testing.T) {
ctx, done := context.WithCancel(context.Background())
defer done()
initialMax := loadedMax
s := InitScheduler(ctx)
require.Equal(t, initialMax, loadedMax)
require.NotNil(t, s.loaded)
os.Setenv("OLLAMA_MAX_LOADED_MODELS", "blue")
s = InitScheduler(ctx)
require.Equal(t, initialMax, loadedMax)
require.NotNil(t, s.loaded)
os.Setenv("OLLAMA_MAX_LOADED_MODELS", "0")
s = InitScheduler(ctx)
require.Equal(t, 0, loadedMax)
require.NotNil(t, s.loaded)
}
func TestLoad(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
defer done()
s := InitScheduler(ctx)
req := &LlmRequest{
ctx: ctx,
model: &Model{ModelPath: "foo"},
successCh: make(chan *runnerRef, 1),
errCh: make(chan error, 1),
sessionDuration: 2,
}
// Fail to load model first
s.newServerFn = func(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options) (llm.LlamaServer, error) {
return nil, fmt.Errorf("something failed to load model blah")
}
gpus := gpu.GpuInfoList{}
s.load(req, gpus)
require.Len(t, req.successCh, 0)
require.Len(t, req.errCh, 1)
require.Len(t, s.loaded, 0)
err := <-req.errCh
require.Contains(t, err.Error(), "this model may be incompatible")
server := &mockLlm{estimatedVRAM: 10}
s.newServerFn = func(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options) (llm.LlamaServer, error) {
return server, nil
}
s.load(req, gpus)
select {
case err := <-req.errCh:
require.NoError(t, err)
case resp := <-req.successCh:
require.Equal(t, uint64(10), resp.estimatedVRAM)
require.Equal(t, uint(1), resp.refCount)
require.Len(t, s.loaded, 1)
}
req.model.ModelPath = "dummy_model_path"
server.waitResp = fmt.Errorf("wait failure")
s.load(req, gpus)
select {
case err := <-req.errCh:
require.Contains(t, err.Error(), "wait failure")
case resp := <-req.successCh:
t.Errorf("unexpected success %v", resp)
}
runner := s.loaded["dummy_model_path"]
require.NotNil(t, runner)
require.Equal(t, uint(0), runner.refCount)
require.Len(t, s.expiredCh, 1)
}
type bundle struct {
ctx context.Context //nolint:containedctx
ctxDone func()
srv *mockLlm
req *LlmRequest
}
func (scenario *bundle) newServer(gpus gpu.GpuInfoList, model string, ggml *llm.GGML, adapters []string, projectors []string, opts api.Options) (llm.LlamaServer, error) {
return scenario.srv, nil
}
func newScenario(t *testing.T, ctx context.Context, modelName string, estimatedVRAM uint64) *bundle {
scenario := &bundle{}
scenario.ctx, scenario.ctxDone = context.WithCancel(ctx)
t.Helper()
f, err := os.CreateTemp(t.TempDir(), modelName)
assert.Nil(t, err)
defer f.Close()
gguf := llm.NewGGUFV3(binary.LittleEndian)
err = gguf.Encode(f, llm.KV{
"general.architecture": "llama",
"general.name": "name",
"llama.context_length": uint32(32),
"llama.embedding_length": uint32(4096),
"llama.block_count": uint32(1),
"llama.attention.head_count": uint32(32),
"llama.attention.head_count_kv": uint32(32),
"tokenizer.ggml.tokens": []string{" "},
"tokenizer.ggml.scores": []float32{0},
"tokenizer.ggml.token_type": []int32{0},
}, []llm.Tensor{
{Name: "blk.0.attn.weight", Kind: uint32(0), Offset: uint64(0), Shape: []uint64{1, 1, 1, 1}, WriterTo: &bytes.Reader{}},
})
assert.Nil(t, err)
fname := f.Name()
model := &Model{Name: modelName, ModelPath: fname}
ggml, err := llm.LoadModel(model.ModelPath)
require.NoError(t, err)
scenario.req = &LlmRequest{
ctx: scenario.ctx,
model: model,
ggml: ggml,
sessionDuration: 5 * time.Millisecond,
successCh: make(chan *runnerRef, 1),
errCh: make(chan error, 1),
}
scenario.srv = &mockLlm{estimatedVRAM: estimatedVRAM}
return scenario
}
func TestRequests(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
defer done()
// Same model, same request
scenario1a := newScenario(t, ctx, "ollama-model-1", 10)
scenario1a.req.sessionDuration = 0
scenario1b := newScenario(t, ctx, "ollama-model-1", 11)
scenario1b.req.model = scenario1a.req.model
scenario1b.req.ggml = scenario1a.req.ggml
scenario1b.req.sessionDuration = 0
// simple reload of same model
scenario2a := newScenario(t, ctx, "ollama-model-1", 20)
scenario2a.req.model = scenario1a.req.model
scenario2a.req.ggml = scenario1a.req.ggml
// Multiple loaded models
scenario3a := newScenario(t, ctx, "ollama-model-3a", 1*format.GigaByte)
scenario3b := newScenario(t, ctx, "ollama-model-3b", 24*format.GigaByte)
scenario3c := newScenario(t, ctx, "ollama-model-3c", 30) // Needs prior unloaded
s := InitScheduler(ctx)
s.getGpuFn = func() gpu.GpuInfoList {
g := gpu.GpuInfo{Library: "metal"}
g.TotalMemory = 24 * format.GigaByte
g.FreeMemory = 12 * format.GigaByte
return []gpu.GpuInfo{g}
}
s.newServerFn = scenario1a.newServer
slog.Info("scenario1a")
s.pendingReqCh <- scenario1a.req
require.Len(t, s.pendingReqCh, 1)
s.Run(ctx)
select {
case resp := <-scenario1a.req.successCh:
require.Equal(t, resp.llama, scenario1a.srv)
require.Len(t, s.pendingReqCh, 0)
require.Len(t, scenario1a.req.errCh, 0)
case <-ctx.Done():
t.Errorf("timeout")
}
// Same runner as first request due to not needing a reload
s.newServerFn = scenario1b.newServer
slog.Info("scenario1b")
s.pendingReqCh <- scenario1b.req
select {
case resp := <-scenario1b.req.successCh:
require.Equal(t, resp.llama, scenario1a.srv)
require.Len(t, s.pendingReqCh, 0)
require.Len(t, scenario1b.req.errCh, 0)
case <-ctx.Done():
t.Errorf("timeout")
}
// Trigger a reload
s.newServerFn = scenario2a.newServer
scenario2a.req.model.AdapterPaths = []string{"new"}
slog.Info("scenario2a")
s.pendingReqCh <- scenario2a.req
// finish first two requests, so model can reload
time.Sleep(1 * time.Millisecond)
scenario1a.ctxDone()
scenario1b.ctxDone()
select {
case resp := <-scenario2a.req.successCh:
require.Equal(t, resp.llama, scenario2a.srv)
require.Len(t, s.pendingReqCh, 0)
require.Len(t, scenario2a.req.errCh, 0)
case <-ctx.Done():
t.Errorf("timeout")
}
loadedMax = 1
s.newServerFn = scenario3a.newServer
slog.Info("scenario3a")
s.pendingReqCh <- scenario3a.req
// finish prior request, so new model can load
time.Sleep(1 * time.Millisecond)
scenario2a.ctxDone()
select {
case resp := <-scenario3a.req.successCh:
require.Equal(t, resp.llama, scenario3a.srv)
require.Len(t, s.pendingReqCh, 0)
require.Len(t, scenario3a.req.errCh, 0)
case <-ctx.Done():
t.Errorf("timeout")
}
require.Len(t, s.loaded, 1)
loadedMax = 0
s.newServerFn = scenario3b.newServer
slog.Info("scenario3b")
s.pendingReqCh <- scenario3b.req
select {
case resp := <-scenario3b.req.successCh:
require.Equal(t, resp.llama, scenario3b.srv)
require.Len(t, s.pendingReqCh, 0)
require.Len(t, scenario3b.req.errCh, 0)
case <-ctx.Done():
t.Errorf("timeout")
}
require.Len(t, s.loaded, 2)
// Try to load a model that wont fit
s.newServerFn = scenario3c.newServer
slog.Info("scenario3c")
require.Len(t, s.loaded, 2)
scenario3a.ctxDone() // Won't help since this one isn't big enough to make room
time.Sleep(2 * time.Millisecond)
s.pendingReqCh <- scenario3c.req
// finish prior request, so new model can load
time.Sleep(6 * time.Millisecond)
require.Len(t, s.loaded, 1)
scenario3b.ctxDone()
select {
case resp := <-scenario3c.req.successCh:
require.Equal(t, resp.llama, scenario3c.srv)
require.Len(t, s.pendingReqCh, 0)
require.Len(t, scenario3c.req.errCh, 0)
case <-ctx.Done():
t.Errorf("timeout")
}
require.Len(t, s.loaded, 1)
}
func TestGetRunner(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 20*time.Millisecond)
defer done()
// Same model, same request
scenario1a := newScenario(t, ctx, "ollama-model-1a", 10)
scenario1a.req.sessionDuration = 0
scenario1b := newScenario(t, ctx, "ollama-model-1b", 10)
scenario1b.req.sessionDuration = 0
scenario1c := newScenario(t, ctx, "ollama-model-1c", 10)
scenario1c.req.sessionDuration = 0
maxQueuedRequests = 1
s := InitScheduler(ctx)
s.getGpuFn = func() gpu.GpuInfoList {
g := gpu.GpuInfo{Library: "metal"}
g.TotalMemory = 24 * format.GigaByte
g.FreeMemory = 12 * format.GigaByte
return []gpu.GpuInfo{g}
}
s.newServerFn = scenario1a.newServer
slog.Info("scenario1a")
successCh1a, errCh1a := s.GetRunner(scenario1a.ctx, scenario1a.req.model, scenario1a.req.opts, scenario1a.req.sessionDuration)
require.Len(t, s.pendingReqCh, 1)
slog.Info("scenario1b")
successCh1b, errCh1b := s.GetRunner(scenario1b.ctx, scenario1b.req.model, scenario1b.req.opts, scenario1b.req.sessionDuration)
require.Len(t, s.pendingReqCh, 1)
require.Len(t, successCh1b, 0)
require.Len(t, errCh1b, 1)
err := <-errCh1b
require.Contains(t, err.Error(), "server busy")
s.Run(ctx)
select {
case resp := <-successCh1a:
require.Equal(t, resp.llama, scenario1a.srv)
require.Len(t, s.pendingReqCh, 0)
require.Len(t, errCh1a, 0)
case <-ctx.Done():
t.Errorf("timeout")
}
scenario1a.ctxDone()
require.Len(t, s.loaded, 1)
scenario1c.req.model.ModelPath = "bad path"
slog.Info("scenario1c")
successCh1c, errCh1c := s.GetRunner(scenario1c.ctx, scenario1c.req.model, scenario1c.req.opts, scenario1c.req.sessionDuration)
require.Len(t, s.pendingReqCh, 0)
require.Len(t, successCh1c, 0)
require.Len(t, errCh1c, 1)
err = <-errCh1c
require.Contains(t, err.Error(), "bad path")
scenario1b.ctxDone()
time.Sleep(5 * time.Millisecond)
require.Len(t, s.loaded, 0)
}
// TODO - add one scenario that triggers the bogus finished event with positive ref count
func TestPrematureExpired(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 100*time.Millisecond)
defer done()
// Same model, same request
scenario1a := newScenario(t, ctx, "ollama-model-1a", 10)
s := InitScheduler(ctx)
s.getGpuFn = func() gpu.GpuInfoList {
g := gpu.GpuInfo{Library: "metal"}
g.TotalMemory = 24 * format.GigaByte
g.FreeMemory = 12 * format.GigaByte
return []gpu.GpuInfo{g}
}
s.newServerFn = scenario1a.newServer
successCh1a, errCh1a := s.GetRunner(scenario1a.ctx, scenario1a.req.model, scenario1a.req.opts, scenario1a.req.sessionDuration)
require.Len(t, s.pendingReqCh, 1)
s.Run(ctx)
select {
case resp := <-successCh1a:
require.Equal(t, resp.llama, scenario1a.srv)
require.Len(t, s.pendingReqCh, 0)
require.Len(t, errCh1a, 0)
require.Len(t, s.loaded, 1)
slog.Info("sending premature expired event now")
s.expiredCh <- resp // Shouldn't happen in real life, but make sure its safe
case <-ctx.Done():
t.Errorf("timeout")
}
time.Sleep(scenario1a.req.sessionDuration)
scenario1a.ctxDone()
time.Sleep(20 * time.Millisecond)
require.LessOrEqual(t, len(s.finishedReqCh), 1)
time.Sleep(10 * time.Millisecond)
require.Len(t, s.finishedReqCh, 0)
require.Len(t, s.loaded, 0)
// also shouldn't happen in real life
s.finishedReqCh <- scenario1a.req
time.Sleep(5 * time.Millisecond)
}
func TestUseLoadedRunner(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
req := &LlmRequest{
ctx: ctx,
successCh: make(chan *runnerRef, 1),
sessionDuration: 2,
}
finished := make(chan *LlmRequest)
llm1 := &mockLlm{}
r1 := &runnerRef{llama: llm1, sessionDuration: 1}
req.useLoadedRunner(r1, finished)
require.Equal(t, uint(1), r1.refCount)
require.Equal(t, time.Duration(2), r1.sessionDuration)
select {
case success := <-req.successCh:
require.Equal(t, r1, success)
case <-ctx.Done():
t.Errorf("timeout")
}
done()
fin := <-finished
require.Equal(t, req, fin)
}
func TestUpdateFreeSpace(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
defer done()
gpus := gpu.GpuInfoList{
{
Library: "a",
ID: "1",
},
{
Library: "a",
ID: "2",
},
}
gpus[0].TotalMemory = 1000
gpus[0].FreeMemory = 900
gpus[1].TotalMemory = 2000
gpus[1].FreeMemory = 1900
llm1 := &mockLlm{estimatedVRAM: 100}
llm2 := &mockLlm{estimatedVRAM: 200}
r1 := &runnerRef{llama: llm1, gpus: gpus}
r2 := &runnerRef{llama: llm2, gpus: gpus}
s := InitScheduler(ctx)
s.loaded["a"] = r1
s.loaded["b"] = r2
s.updateFreeSpace(gpus)
require.Equal(t, uint64(850), gpus[0].FreeMemory)
require.Equal(t, uint64(1850), gpus[1].FreeMemory)
}
func TestFindRunnerToUnload(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
defer done()
req := &LlmRequest{ctx: ctx}
r1 := &runnerRef{refCount: 1, sessionDuration: 1}
r2 := &runnerRef{sessionDuration: 2}
s := InitScheduler(ctx)
s.loaded["a"] = r1
s.loaded["b"] = r2
resp := s.findRunnerToUnload(req)
require.Equal(t, r2, resp)
r2.refCount = 1
resp = s.findRunnerToUnload(req)
require.Equal(t, r1, resp)
}
func TestNeedsReload(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
defer done()
llm := &mockLlm{}
runner := &runnerRef{
adapters: []string{"adapter1"},
projectors: []string{"projector1"},
Options: &api.Options{},
llama: llm,
}
req := &LlmRequest{
model: &Model{
AdapterPaths: []string{"adapter2"},
ProjectorPaths: []string{"projector2"},
},
opts: api.Options{},
}
resp := runner.needsReload(ctx, req)
require.True(t, resp)
req.model.AdapterPaths = runner.adapters
resp = runner.needsReload(ctx, req)
require.True(t, resp)
req.model.ProjectorPaths = runner.projectors
runner.loading = true
req.opts.NumBatch = 1234
resp = runner.needsReload(ctx, req)
require.True(t, resp)
req.opts.NumBatch = runner.Options.NumBatch
llm.pingResp = fmt.Errorf("foo")
resp = runner.needsReload(ctx, req)
require.True(t, resp)
llm.pingResp = nil
resp = runner.needsReload(ctx, req)
require.False(t, resp)
req.opts.NumGPU = 99
resp = runner.needsReload(ctx, req)
require.False(t, resp)
}
func TestUnloadAllRunners(t *testing.T) {
ctx, done := context.WithTimeout(context.Background(), 5*time.Millisecond)
defer done()
llm1 := &mockLlm{}
llm2 := &mockLlm{}
s := InitScheduler(ctx)
s.unloadAllRunners()
r1 := &runnerRef{llama: llm1}
r2 := &runnerRef{llama: llm2}
s.loaded["a"] = r1
s.loaded["b"] = r2
s.unloadAllRunners()
require.True(t, llm1.closeCalled)
require.True(t, llm2.closeCalled)
}
func TestUnload(t *testing.T) {
llm1 := &mockLlm{}
r1 := &runnerRef{llama: llm1}
r2 := &runnerRef{adapters: []string{"A"}}
r1.unload()
require.True(t, llm1.closeCalled)
r2.unload()
require.Nil(t, r2.adapters)
}
type mockLlm struct {
pingResp error
waitResp error
completionResp error
embeddingResp []float64
embeddingRespErr error
tokenizeResp []int
tokenizeRespErr error
detokenizeResp string
detonekizeRespErr error
closeResp error
closeCalled bool
estimatedVRAM uint64
}
func (s *mockLlm) Ping(ctx context.Context) error { return s.pingResp }
func (s *mockLlm) WaitUntilRunning(ctx context.Context) error { return s.waitResp }
func (s *mockLlm) Completion(ctx context.Context, req llm.CompletionRequest, fn func(llm.CompletionResponse)) error {
return s.completionResp
}
func (s *mockLlm) Embedding(ctx context.Context, prompt string) ([]float64, error) {
return s.embeddingResp, s.embeddingRespErr
}
func (s *mockLlm) Tokenize(ctx context.Context, content string) ([]int, error) {
return s.tokenizeResp, s.tokenizeRespErr
}
func (s *mockLlm) Detokenize(ctx context.Context, tokens []int) (string, error) {
return s.detokenizeResp, s.detonekizeRespErr
}
func (s *mockLlm) Close() error {
s.closeCalled = true
return s.closeResp
}
func (s *mockLlm) EstimatedVRAM() uint64 { return s.estimatedVRAM }