Conda Environment Conflict
Conda environment conflicts cause package version mismatches, broken dependencies, and hard-to-debug import errors.
Conda environment conflicts cause package version mismatches, broken dependencies, and hard-to-debug import errors.
What this failure is
Conda Environment Conflict is a Environment failure seen during ML training runs. Conda environment conflicts cause package version mismatches, broken dependencies, and hard-to-debug import errors. Common tags: Conda, Environment, Dependency, Conflict.
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Why it happens (the mechanism)
Pip-installed packages conflict with conda. Conda channel priority not set. Libstdc++ version mismatch. MKL/OpenMP conflict. Python version mismatch in env. 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
- Conda install fails with conflict
- Import error after conda install
- Package version doesn't match
Common symptoms and what they mean
| Symptom | Why it happens |
|---|---|
| CondaError: ResolvePackageNotFound | Pip-installed packages conflict with conda |
| ImportError: /lib/libstdc++.so.6: version `GLIBCXX' | Conda channel priority not set |
| UnsatisfiableError: The following specifications were found to be incompatible | libstdc++ version mismatch |
Which systems are affected
- Multi-team shared conda environments
- Mixing conda and pip
- Old conda env with new packages
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: CondaError: ResolvePackageNotFound
- ✓Verified signal present: ImportError: /lib/libstdc++.so.6: version `GLIBCXX'
- ✓Verified signal present: UnsatisfiableError: The following specifications were found to be incompatible
- ✓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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Root cause
- Pip-installed packages conflict with conda
- Conda channel priority not set
- libstdc++ version mismatch
- MKL/OpenMP conflict
- Python version mismatch in env
The fix and how to prevent it
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References
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