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, data_transfer_protocol='', 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.
|
data_transfer_protocol
|
An optional string. Defaults to "".
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type variant.
|
