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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 _init_norm(self, weights):
 """Set the norm of the weight vector."""

    with tf.variable_scope("init_norm"):
      flat = tf.reshape(weights, [-1, self.layer_depth])
      return tf.reshape(tf.norm(flat, axis=0), (self.layer_depth,))