tf.raw_ops.ExperimentalDirectedInterleaveDataset

A substitute for InterleaveDataset on a fixed list of N datasets.

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tf.compat.v1.raw_ops.ExperimentalDirectedInterleaveDataset

tf.raw_ops.ExperimentalDirectedInterleaveDataset(
    selector_input_dataset, data_input_datasets, output_types, output_shapes,
    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.
name	A name for the operation (optional).

Returns
A Tensor of type variant.