Python Import Error
Python import errors prevent training from starting when modules cannot be loaded.
Python import errors prevent training from starting when modules cannot be loaded.
What this failure is
Python Import Error is a Environment failure seen during ML training runs. Python import errors prevent training from starting when modules cannot be loaded. Common tags: Python, Import, Module, Environment.
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Why it happens (the mechanism)
Module not installed. Module path not in PYTHONPATH. Circular import. Conflicting module versions. Missing __init__.py. 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 script fails at import time
- ModuleNotFoundError
- ImportError: cannot import name
Common symptoms and what they mean
| Symptom | Why it happens |
|---|---|
| ModuleNotFoundError: No module named torch | Module not installed |
| ImportError: cannot import name from torch | Module path not in PYTHONPATH |
| ImportError: DLL load failed | Circular import |
| Python crashes with import error | Conflicting module versions |
Which systems are affected
- New Python environments
- Mixed pip/conda installations
- Conflicting package versions
- Missing dependencies
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: ModuleNotFoundError: No module named torch
- ✓Verified signal present: ImportError: cannot import name from torch
- ✓Verified signal present: ImportError: DLL load failed
- ✓Verified signal present: Python crashes with import error
- ✓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
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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.
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Root cause
- Module not installed
- Module path not in PYTHONPATH
- Circular import
- Conflicting module versions
- Missing __init__.py
The fix and how to prevent it
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References
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