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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def lrn(self, depth_radius, bias, alpha, beta):
 """Adds a local response normalization layer."""

        name = "lrn" + str(self.counts["lrn"])
        self.counts["lrn"] += 1
        self.top_layer = tf.nn.lrn(
            self.top_layer, depth_radius, bias, alpha, beta, name=name)
        return self.top_layer