code: def __init__(self, eps=1e-6, reduction="mean", loss_weight=1.0):
      super(GIoULoss, self).__init__()
      self.eps = eps
      self.reduction = reduction
      self.loss_weight = loss_weight
  
imports: import math
  import torch
  import torch.nn
  from mmdet.core import bbox_overlaps
  from ..builder import LOSSES
  from .utils import weighted_loss
label_desc: Use image node_id 1 to create a new GIoULoss object from inherited base classes: nn with example: obj = GIoULoss(eps, reduction, loss_weight)