def METHOD_NAME(self) -> tf.Tensor:
    """
    Z is a tensor whose entries are the latent space values of the relevant label
    i.e. Z[3] is the value of label 3.
    """
    # This sets Z[0] = 0 and then creates Z[1:] by adding the deltas.
    #  This is achieved by using a lower diagonal matrix of ones,
    #  so Z[1] = _Z_deltas[0], Z[2] = _Z_deltas[0] + _Z_deltas[1], etc.
    METHOD_NAME = tf.concat([tf.constant(0, shape=(1,), dtype=tf.float64), tf.squeeze(self._Z_deltas)], 0)
    m = tf.linalg.band_part(tf.ones([tf.size(METHOD_NAME), tf.size(METHOD_NAME)], dtype=tf.float64), -1, 0)
    return tf.expand_dims(tf.linalg.matvec(m, METHOD_NAME), -1)