# tf.raw_ops.OutfeedDequeueTuple

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Retrieve multiple values from the computation outfeed.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.OutfeedDequeueTuple(
        dtypes, shapes, device_ordinal=-1, name=None
    )

This operation will block indefinitely until data is available. Output `i`
corresponds to XLA tuple element `i`.

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| ## Args ||
|---|---|
| `dtypes` | A list of `tf.DTypes` that has length `>= 1`. The element types of each element in `outputs`. |
| `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`). The shapes of each tensor in `outputs`. |
| `device_ordinal` | An optional `int`. Defaults to `-1`. The TPU device to use. This should be -1 when the Op is running on a TPU device, and \>= 0 when the Op is running on the CPU device. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A list of `Tensor` objects of type `dtypes`. ||

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