def __init__(self, gamma: float=2.0, alpha: float=0.25, reduction='mean'):
    '\n        Args:\n            gamma: Weighting parameter to balance loss for hard and easy examples.\n            alpha: Weighting parameter to balance loss for positive and negative examples.\n        '
    super(E2ESigmoidFocalClassificationLoss, self).__init__()
    self.alpha = alpha
    self.gamma = gamma
    self.reduction = reduction
Args:
    gamma: Weighting parameter to balance loss for hard and easy examples.
    alpha: Weighting parameter to balance loss for positive and negative examples.
def __init__(self, gamma: float=2.0, alpha: float=0.25, reduction='mean'):
    '\n        Args:\n            gamma: Weighting parameter to balance loss for hard and easy examples.\n            alpha: Weighting parameter to balance loss for positive and negative examples.\n        '
    super(E2ESigmoidFocalClassificationLoss, self).__init__()
    self.alpha = alpha
    self.gamma = gamma
    self.reduction = reduction