Provides tf.data service related configuration options.
runner.TFDataServiceConfig(
tf_data_service_address: str,
tf_data_service_job_name: str,
tf_data_service_mode: Union[str, tf.data.experimental.service.ShardingPolicy]
)
tf.data service has data flexible visitation guarantees, its impact over your training pipelines will be empirical. Check out the tf.data service internals and operation details from https://www.tensorflow.org/api_docs/python/tf/data/experimental/service.
tf_data_service_address
|
Dataclass field |
tf_data_service_job_name
|
Dataclass field |
tf_data_service_mode
|
Dataclass field |
__eq__(
other
)
Return self==value.