code: def __init__(self, adv_temperature=None, margin=6.0):
      super(MarginLoss, self).__init__()
      self.margin = nn.Parameter(torch.Tensor([margin]))
      self.margin.requires_grad = False
      if adv_temperature != None:
          self.adv_temperature = nn.Parameter(
              torch.Tensor([adv_temperature])
          )
          self.adv_temperature.requires_grad = False
          self.adv_flag = True
      else:
          self.adv_flag = False
  
file_path: OpenKE/openke/module/loss/MarginLoss.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch.autograd import Variable
  import numpy
  from .Loss import Loss
label_desc: Use image node_id 1 to create a new MarginLoss object from inherited base classes: Loss with example: obj = MarginLoss(adv_temperature, margin)