@classmethod
def extract(cls, node):
    pb = node.pb
    AttributedLRN.update_node_stat(node, {'alpha': (pb.attr['alpha'].f * ((2.0 * pb.attr['depth_radius'].i) + 1.0)), 'beta': pb.attr['beta'].f, 'bias': pb.attr['bias'].f, 'local_size': ((2 * pb.attr['depth_radius'].i) + 1)})
    return cls.enabled
@classmethod
def extract(cls, node):
    pb = node.pb
    AttributedLRN.update_node_stat(node, {'alpha': (pb.attr['alpha'].f * ((2.0 * pb.attr['depth_radius'].i) + 1.0)), 'beta': pb.attr['beta'].f, 'bias': pb.attr['bias'].f, 'local_size': ((2 * pb.attr['depth_radius'].i) + 1)})
    return cls.enabled