code: def __init__(self, epsilon=None):
      super().__init__()
      if epsilon is not None and (epsilon <= 0 or epsilon >= 1):
          epsilon = None
      self.epsilon = epsilon
  
imports: import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddle.nn import L1Loss
  from paddle.nn import MSELoss
  from paddle.nn import SmoothL1Loss
label_desc: Use image node_id 1 to create a new CELoss object from inherited base classes: nn with example: obj = CELoss(epsilon)