pytorch
config_error
ai_generated
true
Inconsistent dropout/batchnorm behavior during inference
ID: pytorch/model-eval-mode
85%Fix Rate
88%Confidence
3Evidence
2023-01-01First Seen
Version Compatibility
| Version | Status | Introduced | Deprecated | Notes |
|---|---|---|---|---|
| 2 | active | — | — | — |
Root Cause
Model not in eval mode during inference.
genericWorkarounds
-
95% success Call model.eval() before inference and model.train() before training
-
92% success Use with torch.no_grad(): for inference to save memory
Dead Ends
Common approaches that don't work:
-
Remove dropout and batchnorm layers
82% fail
Loses regularization and normalization
-
Set training=False on individual layers
75% fail
Error-prone and incomplete