tf.data.experimental.service.WorkerServer

An in-process tf.data service worker server.

tf.data.experimental.service.WorkerServer(
    config, start=True
)

A tf.data.experimental.service.WorkerServer performs tf.data.Dataset processing for user-defined datasets, and provides the resulting elements over RPC. A worker is associated with a single tf.data.experimental.service.DispatchServer.

dispatcher = tf.data.experimental.service.DispatchServer()
dispatcher_address = dispatcher.target.split("://")[1]
worker = tf.data.experimental.service.WorkerServer(
    tf.data.experimental.service.WorkerConfig(
        dispatcher_address=dispatcher_address))
dataset = tf.data.Dataset.range(10)
dataset = dataset.apply(tf.data.experimental.service.distribute(
    processing_mode="parallel_epochs", service=dispatcher.target))
print(list(dataset.as_numpy_iterator()))
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

When starting a dedicated tf.data worker process, use join() to block after starting up the worker, until the worker terminates.

worker = tf.data.experimental.service.WorkerServer(
    port=5051, dispatcher_address="localhost:5050")
worker.join()

Call stop() to gracefully terminate the worker. The worker automatically stops when all reference to it have been deleted.

Args
config	A tf.data.experimental.service.WorkerConfig configration.
start	(Optional.) Boolean, indicating whether to start the server after creating it. Defaults to True.

Methods

join

View source

join() -> None

Blocks until the server has shut down.

This is useful when starting a dedicated worker process.

worker_server = tf.data.experimental.service.WorkerServer(
    port=5051, dispatcher_address="localhost:5050")
worker_server.join()

This method currently blocks forever.

Raises
tf.errors.OpError	Or one of its subclasses if an error occurs while joining the server.

start

View source

start() -> None

Starts this server.

Raises
tf.errors.OpError	Or one of its subclasses if an error occurs while starting the server.

stop

View source

stop() -> None

Stops the server.

Raises
tf.errors.OpError	Or one of its subclasses if an error occurs while stopping the server.