# tf.raw_ops.RebatchDatasetV2

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Creates a dataset that changes the batch size.

#### View aliases


**Compat aliases for migration**

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

[`tf.compat.v1.raw_ops.RebatchDatasetV2`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/RebatchDatasetV2)

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    tf.raw_ops.RebatchDatasetV2(
        input_dataset,
        batch_sizes,
        drop_remainder,
        output_types,
        output_shapes,
        name=None
    )

Creates a dataset that rebatches elements from `input_dataset` into new batch
sizes.

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| ## Args ||
|---|---|
| `input_dataset` | A `Tensor` of type `variant`. A variant tensor representing the input dataset. |
| `batch_sizes` | A `Tensor` of type `int64`. A vector of integers representing the size of batches to produce. These values are cycled through in order. |
| `drop_remainder` | A `Tensor` of type `bool`. |
| `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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