# tf.raw_ops.InterleaveDataset

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Creates a dataset that applies `f` to the outputs of `input_dataset`.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.InterleaveDataset(
        input_dataset,
        other_arguments,
        cycle_length,
        block_length,
        f,
        output_types,
        output_shapes,
        metadata='',
        name=None
    )

Unlike MapDataset, the `f` in InterleaveDataset is expected to return
a Dataset variant, and InterleaveDataset will flatten successive
results into a single Dataset. Unlike FlatMapDataset,
InterleaveDataset will interleave sequences of up to `block_length`
consecutive elements from `cycle_length` input elements.

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| ## Args ||
|---|---|
| `input_dataset` | A `Tensor` of type `variant`. |
| `other_arguments` | A list of `Tensor` objects. |
| `cycle_length` | A `Tensor` of type `int64`. |
| `block_length` | A `Tensor` of type `int64`. |
| `f` | A function decorated with @Defun. A function mapping elements of `input_dataset`, concatenated with `other_arguments`, to a Dataset variant that contains elements matching `output_types` and `output_shapes`. |
| `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`. |
| `metadata` | An optional `string`. Defaults to `""`. |
| `name` | A name for the operation (optional). |

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

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