def _loss_function(model, prediction, target):
inner_loss = T.abs_(target - prediction)
outer_loss = 1.0 - inner_loss
combined_loss = T.stack([inner_loss, outer_loss], axis=1)
return T.min(combined_loss, axis=1)
def _loss_function(model, prediction, target):
inner_loss = T.abs_(target - prediction)
outer_loss = 1.0 - inner_loss
combined_loss = T.stack([inner_loss, outer_loss], axis=1)
return T.min(combined_loss, axis=1)
