# tf.raw_ops.RandomUniform

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Outputs random values 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.RandomUniform`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/RandomUniform)

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    tf.raw_ops.RandomUniform(
        shape, dtype, seed=0, seed2=0, name=None
    )

The generated values follow a uniform distribution in the range `[0, 1)`. The
lower bound 0 is included in the range, while the upper bound 1 is excluded.

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| ## Args ||
|---|---|
| `shape` | A `Tensor`. Must be one of the following types: `int32`, `int64`. The shape of the output tensor. |
| `dtype` | A [`tf.DType`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/dtypes/DType) from: `tf.half, tf.bfloat16, tf.float32, tf.float64`. The type of the output. |
| `seed` | An optional `int`. Defaults to `0`. If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed. |
| `seed2` | An optional `int`. Defaults to `0`. A second seed to avoid seed collision. |
| `name` | A name for the operation (optional). |

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| ## Returns ||
|---|---|
| A `Tensor` of type `dtype`. ||

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