class_docstr: L1Loss on thresh, DiceLoss on thresh_binary and binary.
code: def __init__(self, eps=1e-6, l1_scale=10):
      super(L1DiceLoss, self).__init__()
      self.dice_loss = AdaptiveDiceLoss(eps=eps)
      from .l1_loss import MaskL1Loss
  
      self.l1_loss = MaskL1Loss()
      self.l1_scale = l1_scale
  
imports: import sys
  import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new L1DiceLoss object from inherited base classes: nn with example: obj = L1DiceLoss(eps, l1_scale)