# tf.random.create_rng_state

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| [![](https://www.tensorflow.org/images/GitHub-Mark-32px.png) View source on GitHub](https://github.com/tensorflow/tensorflow/blob/v2.13.1/tensorflow/python/ops/stateful_random_ops.py#L173-L194) |

Creates a RNG state from an integer or a vector.

#### View aliases


**Main aliases**

[`tf.random.experimental.create_rng_state`](https://www.tensorflow.org/api_docs/python/tf/random/create_rng_state)
**Compat aliases for migration**

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

[`tf.compat.v1.random.create_rng_state`](https://www.tensorflow.org/api_docs/python/tf/random/create_rng_state), [`tf.compat.v1.random.experimental.create_rng_state`](https://www.tensorflow.org/api_docs/python/tf/random/create_rng_state)

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    tf.random.create_rng_state(
        seed, alg
    )

#### Example:

    tf.random.create_rng_state(
        1234, "philox")
    <tf.Tensor: shape=(3,), dtype=int64, numpy=array([1234,    0,    0])>
    tf.random.create_rng_state(
        [12, 34], "threefry")
    <tf.Tensor: shape=(2,), dtype=int64, numpy=array([12, 34])>

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| ## Args ||
|---|---|
| `seed` | an integer or 1-D numpy array. |
| `alg` | the RNG algorithm. Can be a string, an `Algorithm` or an integer. |

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| ## Returns ||
|---|---|
| a 1-D numpy array whose size depends on the algorithm. ||

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