as `tf.tpu.experimental.embedding.serving_embedding_lookup` which can
        take arbitrary rank of dense and sparse tensor. For ragged tensor,
        though the input tensor remains to be rank 2, the activations now can be
        rank 2 or above by specifying the output shape in the feature config or
        via the build method.

*   Add

     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     * @throws NumberFormatException When the property is not integer.
     */
    Integer getRankFusionWindowSizeAsInteger();

    /**
     * Get the value for the key 'rank.fusion.rank_constant'. <br>
     * The value is, e.g. 20 <br>
     * comment: Rank constant for rank fusion.

16EB..16F0    ; valid                  ;      ; NV8    # 3.0  RUNIC SINGLE PUNCTUATION..RUNIC BELGTHOR SYMBOL
16F1..16F8    ; valid                                  # 7.0  RUNIC LETTER K..RUNIC LETTER FRANKS CASKET AESC
16F9..16FF    ; disallowed                             # NA   <reserved-16F9>..<reserved-16FF>
1700..170C    ; valid                                  # 3.2  TAGALOG LETTER A..TAGALOG LETTER YA