Troubleshooting
General issues
Transformer plugin not available
- Confirm the package is installed in the active environment.
- Check MLIA's plugin discovery flow in the wider environment.
- Reinstall the package if the
tflite_to_tosatransformer name is not being discovered.
Wrong input type
- This repo is intended for LiteRT / TensorFlow Lite
.tflitemodels. - If the input file is not a valid
.tfliteartifact, the conversion path can fail before downstream analysis begins.
Conversion-specific issues
Conversion fails on model contents
- Reduce the issue to a smaller known-good
.tflitemodel if possible. - Check whether the model contains unsupported or awkward operator patterns for the conversion path.
- Treat the failure as a conversion issue first, not a target-performance issue.
Downstream backend never receives a usable artifact
- Inspect the run output and logs to confirm whether conversion finished.
- If conversion completed, move debugging to the downstream backend.
- If conversion did not complete, focus on conversion and legalization details.
Dependency-related issues
Environment mismatch
- Recreate the environment and reinstall dependencies from the repo's declared configuration.
- Check whether the active environment contains the expected MLIA and converter package versions.
Escalation path
If the converter appears healthy but the run still fails, move to the target or estimator repo that consumes the produced artifact.