def __init__(self, init='one', power_init=1, weights=None, axis=-1, fit=True, **kwargs):
self.supports_masking = True
self.init = initializations.get(init)
self.initial_weights = weights
self.axis = axis
self.power_init = power_init
self.fit = fit
super(PowerReLU, self).__init__(**kwargs)
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