tff.framework.UnplacedExecutorFactory

ExecutorFactory to construct executors which cannot understand placement.

Inherits From: ExecutorFactory

tff.framework.UnplacedExecutorFactory(
    *,
    support_sequence_ops: bool = False,
    can_resolve_references: bool = True,
    server_device: Optional[tf.config.LogicalDevice] = None,
    client_devices: Optional[Sequence[tf.config.LogicalDevice]] = (),
    leaf_executor_fn=tff.framework.EagerTFExecutor
)

This factory constructs executors which represent "local execution": work that happens at the clients, at the server, or without placements. As such, this executor manages the placement of work on local executors.

Methods

clean_up_executors

View source

clean_up_executors()

Releases any resources held by the factory.

Note that calling this method may invalidate the state of any executors which have previously been returned by the factory; create_executor should be called again if a new executor which is safe to use is desired.

create_executor

View source

create_executor(
    *,
    cardinalities: Optional[tff.framework.CardinalitiesType] = None,
    placement: Optional[tff.framework.PlacementLiteral] = None
) -> tff.framework.Executor

Abstract method to construct instance of executor_base.Executor.

create_executor must accept a dict mapping placements.PlacementLiterals to ints, and return an executor_base.Executor.

Args
cardinalities	a dict mapping instances of placements.PlacementLiteral to ints, specifying the population size at each placement.

Returns
Instance of executor_base.Executor.