code: def __init__(self, cfg_c=0.1, **_):
      super(DRCLoss, self).__init__()
      self.weight1 = nn.Parameter(torch.Tensor([1.0]))
      self.weight2 = nn.Parameter(torch.Tensor([1.0]))
      self.cfg_c = cfg_c
  
imports: import torch.nn.functional
  from .utils import *
  from .backbone import *
label_desc: Use image node_id 1 to create a new DRCLoss object from inherited base classes: nn with example: obj = DRCLoss(cfg_c)