code: def predict(self, p_score, n_score):
      score = self.forward(p_score, n_score)
      return score.cpu().data.numpy()
  
file_path: OpenKE/openke/module/loss/SoftplusLoss.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  import numpy
  from .Loss import Loss
label_desc: Use image node_id 4 for calling the SoftplusLoss obj's underlying member method code with example usage: obj.predict(p_score, n_score) and returns: score