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When training, we need 2 forward passes in case layers (like BatchNorm, Dropout and some lesser known layers) have different behavior dependent on whether the model is in training mode or not.
Support for 2 forward graphs (compilation, switching) needs to be added to FFE.
This issue will be updated with API details, to be discussed offline.
The text was updated successfully, but these errors were encountered:
When training, we need 2 forward passes in case layers (like BatchNorm, Dropout and some lesser known layers) have different behavior dependent on whether the model is in training mode or not.
Support for 2 forward graphs (compilation, switching) needs to be added to FFE.
This issue will be updated with API details, to be discussed offline.
The text was updated successfully, but these errors were encountered: