tf.data.experimental.service.WorkerConfig
Configuration class for tf.data service dispatchers.
tf.data.experimental.service.WorkerConfig( dispatcher_address, worker_address=None, port=0, protocol='grpc', heartbeat_interval_ms=None, dispatcher_timeout_ms=None )
Fields:
-
dispatcher_address
: Specifies the address of the dispatcher. -
worker_address
: Specifies the address of the worker server. This address is passed to the dispatcher so that the dispatcher can tell clients how to connect to this worker. -
port
: Specifies the port to bind to. A value of 0 indicates that the worker can bind to any available port. -
protocol
: (Optional.) Specifies the protocol to be used by the server. Defaults to"grpc"
. -
heartbeat_interval_ms
: How often the worker should heartbeat to the dispatcher, in milliseconds. If not set, the runtime will select a reasonable default. A higher value will reduce the load on the dispatcher, while a lower value will reduce the time it takes to reclaim resources from finished jobs. -
dispatcher_timeout_ms
: How long, in milliseconds, to retry requests to the dispatcher before giving up and reporting an error. Defaults to 1 hour.
Attributes | |
---|---|
dispatcher_address | |
worker_address | |
port | |
protocol | |
heartbeat_interval_ms | |
dispatcher_timeout_ms |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/data/experimental/service/WorkerConfig