Type Error (Python)
Python type errors crash training when incompatible types are used in operations.
Python type errors crash training when incompatible types are used in operations.
What this failure is
Type Error (Python) is a Environment failure seen during ML training runs. Python type errors crash training when incompatible types are used in operations. Common tags: Type Error, Python, Typing, Debugging.
Is this what broke your run? Paste your log.
You're reading about Type Error (Python). 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)
Type mismatch in custom code. Library API change in version update. Incorrect type annotation. Passing wrong type to function. 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 crashes with TypeError
- Error message indicates type mismatch
- Code worked in older Python version
Common symptoms and what they mean
| Symptom | Why it happens |
|---|---|
| TypeError: unsupported operand type(s) | Type mismatch in custom code |
| TypeError: object is not callable | Library API change in version update |
| TypeError: argument must be str not int | Incorrect type annotation |
Which systems are affected
- Custom training code
- Library version updates
- Python version upgrades
- Type hint mismatches
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: TypeError: unsupported operand type(s)
- ✓Verified signal present: TypeError: object is not callable
- ✓Verified signal present: TypeError: argument must be str not int
- ✓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
- Type mismatch in custom code
- Library API change in version update
- Incorrect type annotation
- Passing wrong type to function
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.
References
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.