Set the norm of the weight vector.

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,))