the model's training step with [XLA](https://www.tensorflow.org/xla).
        Note that `jit_compile=True` may not necessarily work for all models.

*   Deterministic Op Functionality:

    *   Fix regression in deterministic selection of deterministic cuDNN
        convolution algorithms, a regression that was introduced in v2.5. Note
        that nondeterministic out-of-memory events while selecting algorithms

   *   while (it.hasNext()) {
   *     foo(it.next());
   *   }
   * }
   * }
   *
   * <p>Failure to follow this advice may result in non-deterministic behavior.
   *
   * <p>The returned bimap will be serializable if the specified bimap is serializable.
   *
   * @param bimap the bimap to be wrapped in a synchronized view

   *   while (it.hasNext()) {
   *     foo(it.next());
   *   }
   * }
   * }
   *
   * <p>Failure to follow this advice may result in non-deterministic behavior.
   *
   * <p>The returned bimap will be serializable if the specified bimap is serializable.
   *
   * @param bimap the bimap to be wrapped in a synchronized view