# tf.raw_ops.StatelessRandomGetKeyCounterAlg

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Picks the best algorithm based on device, and scrambles seed into key and counter.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.StatelessRandomGetKeyCounterAlg(
        seed, name=None
    )

This op picks the best counter-based RNG algorithm based on device, and scrambles a shape-\[2\] seed into a key and a counter, both needed by the counter-based algorithm. The scrambling is opaque but approximately satisfies the property that different seed results in different key/counter pair (which will in turn result in different random numbers).

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| ## Args ||
|---|---|
| `seed` | A `Tensor`. Must be one of the following types: `int32`, `int64`. 2 seeds (shape \[2\]). |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A tuple of `Tensor` objects (key, counter, alg). ||
| `key` | A `Tensor` of type `uint64`. |
| `counter` | A `Tensor` of type `uint64`. |
| `alg` | A `Tensor` of type `int32`. |

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