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 | |
© 2020 The TensorFlow Authors. All rights reserved.
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