* bits.
   *
   * @param h hash code
   */
  static int rehash(int h) {
    // Spread bits to regularize both segment and index locations,
    // using variant of single-word Wang/Jenkins hash.
    // TODO(kevinb): use Hashing/move this to Hashing?
    h += (h << 15) ^ 0xffffcd7d;
    h ^= h >>> 10;
    h += h << 3;
    h ^= h >>> 6;
    h += (h << 2) + (h << 14);

font-weight: 400;\n  line-height: 1.5;\n  text-align: left;\n  text-align: start;\n  text-decoration: none;\n  text-shadow: none;\n  text-transform: none;\n  letter-spacing: normal;\n  word-break: normal;\n  word-spacing: normal;\n  white-space: normal;\n  line-break: auto;\n  font-size: 0.875rem;\n  word-wrap: break-word;\n  opacity: 0;\n}\n\n.tooltip.show {\n  opacity: 0.9;\n}\n\n.tooltip .arrow {\n  position: absolute;\n  display: block;\n  width: 0.8rem;\n  height: 0.4rem;\n}\n\n.tooltip .arrow::before...

    *   Added `warmstart_embedding_matrix` to `tf.keras.utils`.
        This utility can be used to warmstart an embeddings matrix so you
        reuse previously-learned word embeddings when working with a new set
        of words which may include previously unseen words (the embedding
        vectors for unseen words will be randomly initialized).

*   `tf.Variable`:

* The deprecated –mode switch for GCE has been removed.([#61203](https://github.com/kubernetes/kubernetes/pull/61203))

* The word “manifest” has been expunged from the Kubelet API. ([#60314](https://github.com/kubernetes/kubernetes/pull/60314))