PredictionLoop¶

class pytorch_lightning.loops.dataloader.PredictionLoop[source]¶

Bases: abc.ABC, Generic[pytorch_lightning.loops.base.T]

Loop to run over dataloaders for prediction.

advance(*args, **kwargs)[source]¶

Predicts one entire dataloader.

connect(epoch_loop)[source]¶: Connect the prediction epoch loop with this loop.

on_run_end()[source]¶

Calls on_predict_epoch_end and on_predict_end hooks and returns results from all dataloaders.

on_run_start()[source]¶

Calls _on_predict_start hook.

Resets the internal state of the loop for a new run.

property dataloaders: Sequence[torch.utils.data.dataloader.DataLoader]¶: Returns all prediction dataloaders.

property max_batches: List[int]¶: The max number of batches this loop will run for each dataloader.

property num_dataloaders: int¶: Returns the number of prediction dataloaders.

property return_predictions: bool¶: Whether to return the predictions or not.

property skip: bool¶

Determine whether to return immediately from the call to run().

Example:

@property
def skip(self):
    return len(self.trainer.train_dataloader) == 0