Missing Signal Handler
Missing signal handlers prevent graceful shutdown of training, causing checkpoint loss and resource leaks.
Missing signal handlers prevent graceful shutdown of training, causing checkpoint loss and resource leaks.
What this failure is
Missing Signal Handler is a Reliability failure seen during ML training runs. Missing signal handlers prevent graceful shutdown of training, causing checkpoint loss and resource leaks. Common tags: Signal, Handler, Graceful Shutdown, Reliability.
Is this what broke your run? Paste your log.
You're reading about Missing Signal Handler. Paste your own crash log or traceback below and get the real root cause for YOUR run, not this generic entry. No account, no card. Logs are masked at ingress and never saved to account history.
Want 14 days on the Scale plan?
Request an evaluation code. A verified workplace organization activates up to 50 diagnoses a day, alerts, history, and follow-up questions. No credit card or automatic subscription.
Why it happens (the mechanism)
Signal handler not registered. Cleanup logic in main thread only. CUDA context not released on signal. Multiple processes not handling signals. Taken together, these mechanisms explain why the failure is reproducible, why it tends to surface on specific workloads or scales, and why generic mitigation attempts often fall short without addressing the underlying cause.
What you'll observe
- Training doesn't save checkpoint on Ctrl+C
- GPU memory not released on interrupt
- Process killed mid-training without cleanup
Common symptoms and what they mean
| Symptom | Why it happens |
|---|---|
| SIGTERM/SIGINT received but training continues | Signal handler not registered |
| CUDA OOM after interrupted training | Cleanup logic in main thread only |
| Checkpoints corrupted when process killed | CUDA context not released on signal |
Which systems are affected
- Long-running training
- Production training jobs
- Training that needs graceful shutdown
How to confirm this is the problem
Use this checklist to test the hypothesis against a small reproduction. No single line proves the root cause, so preserve the preceding events and compare one variable at a time.
- ✓Reproduce the failure from a clean checkpoint/seed: the symptom must appear without warm-up state from a previous run.
- ✓Verified signal present: SIGTERM/SIGINT received but training continues
- ✓Verified signal present: CUDA OOM after interrupted training
- ✓Verified signal present: Checkpoints corrupted when process killed
- ✓A targeted fix from the "How to fix it" section eliminates or substantially reduces the symptom within one validation pass.
The fix and the prevention pattern
The root cause is on this page and stays free. A free account adds the exact remediation steps, saved history, and the fix on every entry in the encyclopedia.
Sign up free. Unlock the full analysisNo credit card. Daily allowance follows verified trust tier. Instant access.
Diagnose this failure in VS Code
Select the traceback or open the failed terminal, then run Denpex locally to see the initiating rank, collateral failures, exact fix, and verification command without uploading the log.
Install the free VS Code extensionRelated failures to investigate next
Root cause
- Signal handler not registered
- Cleanup logic in main thread only
- CUDA context not released on signal
- Multiple processes not handling signals
The fix and how to prevent it
Evaluate Denpex on your own logs
Request a Scale evaluation code. A verified workplace organization activates 14 days with up to 50 diagnoses a day. Every account keeps its current diagnosis allowance and gets a verification path. No card or automatic subscription.
Don't just read the fix, diagnose your run
The encyclopedia tells you what went wrong. Denpex tells you what went wrong in YOUR training run. With your logs, your config, and your stack.
Related Reliability errors
Sequence Length Imbalance Causing Distributed Training Stragglers
Reliability · high
Silent Data Corruption from GPU Hardware Faults Causing Loss Spikes and Model Divergence
Reliability · critical
NIXL Firmware Page Registration Fan-Out Triggers Host OOM Kills on HGX H200 and B200
Reliability · critical
MTTF Scaling Inversely with GPU Count in Large ML Research Clusters
Reliability · high