code: def __init__(
      self,
      weight_shape,
      dim=0,
      power_iters=1,
      eps=1e-12,
      dtype="float32",
  ):
      super(_SpectralNorm, self).__init__(
          weight_shape, dim, power_iters, eps, dtype
      )
  
imports: import base64
  import os
  import sys
  import cv2
  import numpy
  import paddle
  import paddle.nn
  from PIL import Image
label_desc: Use image node_id 1 to create a new _SpectralNorm object from inherited base classes: nn with example: obj = _SpectralNorm(weight_shape, dim, power_iters, eps, dtype)