# tf.raw_ops.ExperimentalDirectedInterleaveDataset

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

#### View aliases


**Compat aliases for migration**

See
[Migration guide](https://www.tensorflow.org/guide/migrate) for
more details.

[`tf.compat.v1.raw_ops.ExperimentalDirectedInterleaveDataset`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/ExperimentalDirectedInterleaveDataset)

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    tf.raw_ops.ExperimentalDirectedInterleaveDataset(
        selector_input_dataset,
        data_input_datasets,
        output_types,
        output_shapes,
        name=None
    )

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| ## 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`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/TensorShape) or list of `ints`) that has length `>= 1`. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor` of type `variant`. ||

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