Creates a dataset that reads data from the tf.data service.
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Compat aliases for migration
See Migration guide for more details.
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, data_transfer_protocol='',
target_workers='AUTO', name=None
)
Args | |
---|---|
dataset_
|
A Tensor of type int64 .
|
processing_
|
A Tensor of type string .
|
address
|
A Tensor of type string .
|
protocol
|
A Tensor of type string .
|
job_
|
A Tensor of type string .
|
max_
|
A Tensor of type int64 .
|
iteration_
|
A Tensor of type resource .
|
output_
|
A list of tf. that has length >= 1 .
|
output_
|
A list of shapes (each a tf.TensorShape or list of ints ) that has length >= 1 .
|
task_
|
An optional int . Defaults to -1 .
|
data_
|
An optional string . Defaults to "" .
|
target_
|
An optional string . Defaults to "AUTO" .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A Tensor of type variant .
|