keras/src/layers/normalization/spectral_normalization.py/SpectralNormalization/__init__
class SpectralNormalization:    def __init__(self, layer, power_iterations=1, **kwargs):
        super().__init__(layer, **kwargs)
        if power_iterations <= 0:
            raise ValueError(
                "`power_iterations` should be greater than zero. Received: "
                f"`power_iterations={power_iterations}`"
            )
        self.power_iterations = power_iterations