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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 restore(self, x):
 """Add padding back to the given tensor. Args: Returns: dim is restored from the original reference tensor """

    with tf.name_scope("pad_reduce/restore"):
      x = tf.scatter_nd(
          indices=self.nonpad_ids,
          updates=x,
          shape=tf.concat([self.dim_origin, tf.shape(x)[1:]], axis=0),
      )
    return x