# tf.raw_ops.RandomShuffleQueue

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A queue that randomizes the order of elements.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.RandomShuffleQueue(
        component_types,
        shapes=[],
        capacity=-1,
        min_after_dequeue=0,
        seed=0,
        seed2=0,
        container='',
        shared_name='',
        name=None
    )

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| ## Args ||
|---|---|
| `component_types` | A list of `tf.DTypes` that has length `>= 1`. The type of each component in a value. |
| `shapes` | An optional list of shapes (each a [`tf.TensorShape`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/TensorShape) or list of `ints`). Defaults to `[]`. The shape of each component in a value. The length of this attr must be either 0 or the same as the length of component_types. If the length of this attr is 0, the shapes of queue elements are not constrained, and only one element may be dequeued at a time. |
| `capacity` | An optional `int`. Defaults to `-1`. The upper bound on the number of elements in this queue. Negative numbers mean no limit. |
| `min_after_dequeue` | An optional `int`. Defaults to `0`. Dequeue will block unless there would be this many elements after the dequeue or the queue is closed. This ensures a minimum level of mixing of elements. |
| `seed` | An optional `int`. Defaults to `0`. If either seed or seed2 is set to be non-zero, the random number generator is seeded by the given seed. Otherwise, a random seed is used. |
| `seed2` | An optional `int`. Defaults to `0`. A second seed to avoid seed collision. |
| `container` | An optional `string`. Defaults to `""`. If non-empty, this queue is placed in the given container. Otherwise, a default container is used. |
| `shared_name` | An optional `string`. Defaults to `""`. If non-empty, this queue will be shared under the given name across multiple sessions. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor` of type mutable `string`. ||

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