text: from ..base_loss import *
  from .tensor_models import logsigmoid
  
  class HingeLoss(BaseHingeLoss):
      def __init__(self, margin):
          assert False, 'HingeLoss is not implemented'
  
      def __call__(self, score, label):
          pass
  
  class LogisticLoss(BaseLogisticLoss):
      def __init__(self):
          assert False, 'LogisticLoss is not implemented'
  
      def __call__(self, score, label):
          pass
  
  class BCELoss(BaseBCELoss):
      def __init__(self):
          assert False, 'BCELoss is not implemented'
  
      def __call__(self, score, label):
          pass
  
  class LogsigmoidLoss(BaseLogsigmoidLoss):
      def __init__(self):
          super(LogsigmoidLoss, self).__init__()
  
      def __call__(self, score, label):
          return - logsigmoid(label * score)
  
  class LossGenerator(BaseLossGenerator):
      def __init__(self, args, loss_genre='Logsigmoid', neg_adversarial_sampling=False, adversarial_temperature=1.0,
                   pairwise=False, label_smooth=.0):
          assert False, 'LossGenerator is not implemented'
  
  
      def _get_pos_loss(self, pos_score, pos_label):
          pass
  
      def _get_neg_loss(self, neg_score, neg_label):
          pass
  
      def get_total_loss(self, pos_score, neg_score, edge_weight):
          pass
  