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A container that holds a list of values, one value per worker.

tf.distribute.experimental.coordinator.PerWorkerValues contains a collection of values, where each of the value is located one worker respectively, and upon being used as one of the args or kwargs of tf.distribute.experimental.coordinator.ClusterCoordinator.schedule(), the value specific to a worker will be passed into the function being executed at that particular worker.

Currently, the only supported path to create an object of tf.distribute.experimental.coordinator.PerWorkerValues is through calling iter on a ClusterCoordinator.create_per_worker_dataset-returned distributed dataset instance. The mechanism to create a custom tf.distribute.experimental.coordinator.PerWorkerValues is not yet supported.