(model, criterion, dataloader)
return (loss(model, criterion, dataloader), {})
Empty model statistics function: returns loss.

    :param model: PyTorch model
    :type model: `torch.nn.Module`
    :param loss_fn: Loss function
    :param dataloader: Data loader to use
    :return: Tuple of loss, dictionary of statistics
    :rtype: `Tuple(float, dict)`
Empty model statistics function: returns loss.
Empty model statistics function : returns loss .
def empty_stat_fn(model, criterion, dataloader):
    """
    Empty model statistics function: returns loss.

    :param model: PyTorch model
    :type model: `torch.nn.Module`
    :param loss_fn: Loss function
    :param dataloader: Data loader to use
    :return: Tuple of loss, dictionary of statistics
    :rtype: `Tuple(float, dict)`
    """
    return (loss(model, criterion, dataloader), {})
def empty_stat_fn ( model , criterion , dataloader ) : return ( loss ( model , criterion , dataloader ) , { } )