tf.distribute.experimental.coordinator.PerWorkerValues
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A container that holds a list of values, one value per worker.
tf.distribute.experimental.coordinator.PerWorkerValues(
values
)
tf.distribute.experimental.coordinator.PerWorkerValues contains a collection
of values, where each of the values is located on its corresponding worker,
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 corresponding 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.
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tf.distribute.experimental.coordinator.PerWorkerValues\n\n\u003cbr /\u003e\n\n|---------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.16.1/tensorflow/python/distribute/coordinator/values.py#L152-L182) |\n\nA container that holds a list of values, one value per worker.\n\n#### View aliases\n\n\n**Main aliases**\n\n[`tf.distribute.coordinator.PerWorkerValue`](https://www.tensorflow.org/api_docs/python/tf/distribute/experimental/coordinator/PerWorkerValues)\n\n\u003cbr /\u003e\n\n tf.distribute.experimental.coordinator.PerWorkerValues(\n values\n )\n\n[`tf.distribute.experimental.coordinator.PerWorkerValues`](../../../../tf/distribute/experimental/coordinator/PerWorkerValues) contains a collection\nof values, where each of the values is located on its corresponding worker,\nand upon being used as one of the `args` or `kwargs` of\n[`tf.distribute.experimental.coordinator.ClusterCoordinator.schedule()`](../../../../tf/distribute/experimental/coordinator/ClusterCoordinator#schedule), the\nvalue specific to a worker will be passed into the function being executed at\nthat corresponding worker.\n\nCurrently, the only supported path to create an object of\n[`tf.distribute.experimental.coordinator.PerWorkerValues`](../../../../tf/distribute/experimental/coordinator/PerWorkerValues) is through calling\n`iter` on a [`ClusterCoordinator.create_per_worker_dataset`](../../../../tf/distribute/experimental/coordinator/ClusterCoordinator#create_per_worker_dataset)-returned\ndistributed dataset instance. The mechanism to create a custom\n[`tf.distribute.experimental.coordinator.PerWorkerValues`](../../../../tf/distribute/experimental/coordinator/PerWorkerValues) is not yet supported."]]
View source on GitHub