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 | |
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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 | |
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A Tensor of type variant . |
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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/r2.3/api_docs/python/tf/raw_ops/DataServiceDataset