code: def __init__(self, shape, eps=1e-2, dtype=np.float64):
      self.eps = eps
      self.shape = shape
      self.dtype = dtype
  
      self._sum = np.zeros(shape, dtype=dtype)
      self._sumsq = np.zeros(shape, dtype=dtype)
      self._count = 0
  
      self.mean = np.zeros(shape, dtype=dtype)
      self.std = np.ones(shape, dtype=dtype)
  
imports: import numpy
  from keras.models import model_from_config, Sequential, Model, model_from_config
  import keras.optimizers
  import keras.backend
label_desc: Use image node_id 1 to create a new WhiteningNormalizer object from inherited base classes: object with example: obj = WhiteningNormalizer(shape, eps, dtype)