code: def __init__(
      self, layer, dim=0, power_iters=1, eps=1e-12, dtype="float32"
  ):
      super(Spectralnorm, self).__init__()
      self.spectral_norm = _SpectralNorm(
          layer.weight.shape, dim, power_iters, eps, dtype
      )
      self.dim = dim
      self.power_iters = power_iters
      self.eps = eps
      self.layer = layer
      weight = layer._parameters["weight"]
      del layer._parameters["weight"]
      self.weight_orig = self.create_parameter(
          weight.shape, dtype=weight.dtype
      )
      self.weight_orig.set_value(weight)
  
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: paddle.nn with example: obj = Spectralnorm(layer, dim, power_iters, eps, dtype)