# tf.raw_ops.TensorSliceDataset

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Creates a dataset that emits each dim-0 slice of `components` once.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.TensorSliceDataset(
        components,
        output_shapes,
        is_files=False,
        metadata='',
        replicate_on_split=False,
        name=None
    )

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| ## Args ||
|---|---|
| `components` | A list of `Tensor` objects. |
| `output_shapes` | A list of shapes (each a [`tf.TensorShape`](https://www.tensorflow.org/versions/r2.14/api_docs/python/tf/TensorShape) or list of `ints`) that has length `>= 1`. |
| `is_files` | An optional `bool`. Defaults to `False`. |
| `metadata` | An optional `string`. Defaults to `""`. |
| `replicate_on_split` | An optional `bool`. Defaults to `False`. |
| `name` | A name for the operation (optional). |

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

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