EvaluationLoop
- class pytorch_lightning.loops.dataloader.EvaluationLoop(verbose=True)[source]
Bases:
pytorch_lightning.loops.dataloader.dataloader_loop.DataLoaderLoop
Loops over all dataloaders for evaluation.
- on_advance_start(*args, **kwargs)[source]
Hook to be called each time before
advance
is called.Accepts all arguments passed to :attr`run`.
- Return type
- on_run_end()[source]
Runs the
_on_evaluation_epoch_end
hook.
- on_run_start(*args, **kwargs)[source]
Runs the
_on_evaluation_model_eval
,_on_evaluation_start
and_on_evaluation_epoch_start
hooks.- Return type
- on_skip()[source]
The function to run when
run()
should be skipped, determined by the condition inskip
.- Return type
- Returns
the default output value of
on_run_end()
- property dataloaders: Sequence[torch.utils.data.dataloader.DataLoader]
Returns the validation or test dataloaders.
- Return type
- property done: bool
Returns whether all dataloaders are processed or evaluation should be skipped altogether.
- Return type