class_docstr: LeakyDiceLoss on binary,
  MaskL1Loss on thresh,
  DiceLoss on thresh_binary.
code: def __init__(self, eps=1e-6, coverage_scale=5, l1_scale=10):
      super(L1LeakyDiceLoss, self).__init__()
      from .dice_loss import DiceLoss, LeakyDiceLoss
      from .l1_loss import MaskL1Loss
  
      self.main_loss = LeakyDiceLoss(coverage_scale=coverage_scale)
      self.l1_loss = MaskL1Loss()
      self.thresh_loss = DiceLoss(eps=eps)
  
      self.l1_scale = l1_scale
  
imports: import sys
  import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new L1LeakyDiceLoss object from inherited base classes: nn with example: obj = L1LeakyDiceLoss(eps, coverage_scale, l1_scale)