# tf.raw_ops.StatefulUniformInt

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Outputs random integers from a uniform distribution.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.StatefulUniformInt(
        resource, algorithm, shape, minval, maxval, name=None
    )

The generated values are uniform integers in the range `[minval, maxval)`.
The lower bound `minval` is included in the range, while the upper bound
`maxval` is excluded.

The random integers are slightly biased unless `maxval - minval` is an exact
power of two. The bias is small for values of `maxval - minval` significantly
smaller than the range of the output (either `2^32` or `2^64`).

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| ## Args ||
|---|---|
| `resource` | A `Tensor` of type `resource`. The handle of the resource variable that stores the state of the RNG. |
| `algorithm` | A `Tensor` of type `int64`. The RNG algorithm. |
| `shape` | A `Tensor`. The shape of the output tensor. |
| `minval` | A `Tensor`. Minimum value (inclusive, scalar). |
| `maxval` | A `Tensor`. Must have the same type as `minval`. Maximum value (exclusive, scalar). |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor`. Has the same type as `minval`. ||

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