tf.raw_ops.DataServiceDataset
Creates a dataset that reads data from the tf.data service.
tf.raw_ops.DataServiceDataset(
dataset_id, processing_mode, address, protocol, job_name,
max_outstanding_requests, iteration_counter, output_types, output_shapes,
task_refresh_interval_hint_ms=-1, name=None
)
| Args | |
|---|---|
dataset_id |
A Tensor of type int64. |
processing_mode |
A Tensor of type string. |
address |
A Tensor of type string. |
protocol |
A Tensor of type string. |
job_name |
A Tensor of type string. |
max_outstanding_requests |
A Tensor of type int64. |
iteration_counter |
A Tensor of type resource. |
output_types |
A list of tf.DTypes that has length >= 1. |
output_shapes |
A list of shapes (each a tf.TensorShape or list of ints) that has length >= 1. |
task_refresh_interval_hint_ms |
An optional int. Defaults to -1. |
name |
A name for the operation (optional). |
| Returns | |
|---|---|
A Tensor of type variant. |
© 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/r2.3/api_docs/python/tf/raw_ops/DataServiceDataset