* parameterize when cycle detection is enabled.
     *
     * <p>Note that locks created by a factory with this policy will not participate the
     * cycle detection performed by locks created by other factories.
     */
    DISABLED {
      @Override
      public void handlePotentialDeadlock(PotentialDeadlockException e) {}
    };
  }

Time flows from top to bottom. And each column is one of the parts interacting or executing code.

```mermaid
sequenceDiagram

participant client as Client
participant handler as Exception handler
participant dep as Dep with yield
participant operation as Path Operation
participant tasks as Background tasks

    Note over client,tasks: Can raise exception for dependency, handled after response is sent

    was the previous way of updating variables in this situation.
*   `tf.distribute.experimental.MultiWorkerMirroredStrategy` adds support for
    partial batches. Workers running out of data now continue to participate in
    the training with empty inputs, instead of raising an error. Learn more
    about
    [partial batches here](https://www.tensorflow.org/tutorials/distribute/input#partial_batches).