# tf.raw_ops.StatelessRandomUniformIntV2

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Outputs deterministic pseudorandom 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.StatelessRandomUniformIntV2`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/StatelessRandomUniformIntV2)

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    tf.raw_ops.StatelessRandomUniformIntV2(
        shape, key, counter, alg, minval, maxval, name=None
    )

The generated values follow a uniform distribution in the range `[minval, maxval)`.

The outputs are a deterministic function of `shape`, `key`, `counter`, `alg`, `minval` and `maxval`.

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| ## Args ||
|---|---|
| `shape` | A `Tensor`. Must be one of the following types: `int32`, `int64`. The shape of the output tensor. |
| `key` | A `Tensor` of type `uint64`. Key for the counter-based RNG algorithm (shape uint64\[1\]). |
| `counter` | A `Tensor` of type `uint64`. Initial counter for the counter-based RNG algorithm (shape uint64\[2\] or uint64\[1\] depending on the algorithm). If a larger vector is given, only the needed portion on the left (i.e. \[:N\]) will be used. |
| `alg` | A `Tensor` of type `int32`. The RNG algorithm (shape int32\[\]). |
| `minval` | A `Tensor`. Must be one of the following types: `int32`, `int64`, `uint32`, `uint64`. 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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