A substitute for InterleaveDataset
on a fixed list of N
datasets.
tf.raw_ops.DirectedInterleaveDataset(
selector_input_dataset,
data_input_datasets,
output_types,
output_shapes,
stop_on_empty_dataset=False,
name=None
)
Args |
selector_input_dataset
|
A Tensor of type variant .
A dataset of scalar DT_INT64 elements that determines which of the
N data inputs should produce the next output element.
|
data_input_datasets
|
A list of at least 1 Tensor objects with type variant .
N datasets with the same type that will be interleaved according to
the values of selector_input_dataset .
|
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 .
|
stop_on_empty_dataset
|
An optional bool . Defaults to False .
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor of type variant .
|