code: def forward(self, data):
      score = self.model(data)
      p_score = self._get_positive_score(score)
      n_score = self._get_negative_score(score)
      loss_res = self.loss(p_score, n_score)
      if self.regul_rate != 0:
          loss_res += self.regul_rate * self.model.regularization(data)
      if self.l3_regul_rate != 0:
          loss_res += (
              self.l3_regul_rate * self.model.l3_regularization()
          )
      return loss_res
  
imports: from .Strategy import Strategy
label_desc: Use image node_id 4 for calling the NegativeSampling obj's underlying member method code with example usage: obj.forward(data) and returns: loss_res