# tf.raw_ops.MultiDeviceIteratorInit

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Initializes the multi device iterator with the given dataset.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.MultiDeviceIteratorInit(
        dataset, multi_device_iterator, max_buffer_size, name=None
    )

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| ## Args ||
|---|---|
| `dataset` | A `Tensor` of type `variant`. Dataset to be iterated upon. |
| `multi_device_iterator` | A `Tensor` of type `resource`. A MultiDeviceIteratorResource. |
| `max_buffer_size` | A `Tensor` of type `int64`. The maximum size of the host side per device buffer to keep. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor` of type `int64`. ||

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