class_docstr: Spectral convergence loss.
      
code: def __init__(self, epsilon: float = torch.finfo(torch.float32).eps):
      super().__init__()
      self.epsilon = epsilon
  
imports: import typing
  import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 1 to create a new SpectralConvergenceLoss object from inherited base classes: nn with example: obj = SpectralConvergenceLoss(epsilon)