pytorch config_error ai_generated true

Inconsistent dropout/batchnorm behavior during inference

ID: pytorch/model-eval-mode

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85%Fix Rate
88%Confidence
3Evidence
2023-01-01First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
2 active

Root Cause

Model not in eval mode during inference.

generic

Workarounds

  1. 95% success Call model.eval() before inference and model.train() before training
  2. 92% success Use with torch.no_grad(): for inference to save memory

Dead Ends

Common approaches that don't work:

  1. Remove dropout and batchnorm layers 82% fail

    Loses regularization and normalization

  2. Set training=False on individual layers 75% fail

    Error-prone and incomplete