The model.eval()
method modifies certain modules (layers) which are required to behave differently during training and inference. Some examples are listed in the docs:
This has [an] effect only on certain modules. See documentations of particular modules for details of their behaviors in training/evaluation mode, if they are affected, e.g. Dropout
, BatchNorm
, etc.
Is there an exhaustive list of which modules are affected?
See Question&Answers more detail:
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