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Fix "Stopping..." scheduler hang (#10487)

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* Adjust initial scheduler refCount

Ensure we only set the refCount on success

* sched: fix lock order inversion deadlock

Under certain race conditions, there was a scenario where the scheduler would
get into a deadlock while trying to update free space information while a model
was trying to unload.
This commit is contained in:
Daniel Hiltgen 2025-04-30 11:26:52 -07:00 committed by GitHub
parent 718eda1b3e
commit 415c8fcc3d
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GPG Key ID: B5690EEEBB952194
1 changed files with 9 additions and 8 deletions
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17
server/sched.go
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@ -441,10 +441,9 @@ func (s *Scheduler) load(req *LlmRequest, f *ggml.GGML, gpus discover.GpuInfoLis
estimatedVRAM: llama.EstimatedVRAM(),
estimatedTotal: llama.EstimatedTotal(),
loading: true,
refCount: 1,
}
runner.numParallel = numParallel
runner.refMu.Lock()
runner.refMu.Lock() // hold lock until running or aborted
s.loadedMu.Lock()
s.loaded[req.model.ModelPath] = runner
@ -455,13 +454,13 @@ func (s *Scheduler) load(req *LlmRequest, f *ggml.GGML, gpus discover.GpuInfoLis
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.modelPath)
s.expiredCh <- runner
return
}
slog.Debug("finished setting up runner", "model", req.model.ModelPath)
runner.refCount++
runner.loading = false
go func() {
<-req.ctx.Done()
@ -479,7 +478,12 @@ func (s *Scheduler) updateFreeSpace(allGpus discover.GpuInfoList) {
}
predMap := map[predKey]uint64{} // Sum up the total predicted usage per GPU for all runners
s.loadedMu.Lock()
runners := make([]*runnerRef, 0, len(s.loaded))
for _, r := range s.loaded {
runners = append(runners, r)
}
s.loadedMu.Unlock()
for _, r := range runners {
r.refMu.Lock()
if r.llama != nil {
for _, gpu := range allGpus {
@ -490,7 +494,6 @@ func (s *Scheduler) updateFreeSpace(allGpus discover.GpuInfoList) {
}
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 {
@ -537,10 +540,8 @@ func (s *Scheduler) filterGPUsWithoutLoadingModels(allGpus discover.GpuInfoList)
// TODO consolidate sched_types.go
type runnerRef struct {
refMu sync.Mutex
// refCond sync.Cond // Signaled on transition from 1 -> 0 refCount
refMu sync.Mutex
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
@ -811,8 +812,8 @@ func (s *Scheduler) unloadAllRunners() {
func (s *Scheduler) expireRunner(model *Model) {
s.loadedMu.Lock()
defer s.loadedMu.Unlock()
runner, ok := s.loaded[model.ModelPath]
s.loadedMu.Unlock()
if ok {
runner.refMu.Lock()
runner.expiresAt = time.Now()