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.
|
