credit.trainers.trainer_downscaling

Attributes

logger

Classes

TrainerDownscaling

Helper class that provides a standard way to create an ABC using

Module Contents

credit.trainers.trainer_downscaling.logger

class credit.trainers.trainer_downscaling.TrainerDownscaling(model: torch.nn.Module, rank: int, conf: dict)

Bases: credit.trainers.base_trainer.BaseTrainer

Helper class that provides a standard way to create an ABC using inheritance.

setup(conf)

train_one_epoch(epoch, conf, trainloader, optimizer, criterion, scaler, scheduler, metrics)

validate(epoch, valid_loader, criterion, metrics)

Validates the model on the validation dataset.

Parameters:

• epoch (int) – Current epoch number.

• conf (dict) – Configuration dictionary containing validation settings.

• valid_loader (DataLoader) – DataLoader for the validation dataset.

• criterion (callable) – Loss function used for validation.

• metrics (callable) – Function to compute metrics for evaluation.

Returns:

Dictionary containing validation metrics and loss for the epoch.

Return type:

dict