# tf.raw_ops.RandomDataset

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Creates a Dataset that returns pseudorandom numbers.

#### View aliases


**Compat aliases for migration**

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

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

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    tf.raw_ops.RandomDataset(
        seed, seed2, output_types, output_shapes, metadata='', name=None
    )

Creates a Dataset that returns a stream of uniformly distributed
pseudorandom 64-bit signed integers.

In the TensorFlow Python API, you can instantiate this dataset via the
class [`tf.data.experimental.RandomDataset`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/data/experimental/RandomDataset).

Instances of this dataset are also created as a result of the
`hoist_random_uniform` static optimization. Whether this optimization is
performed is determined by the `experimental_optimization.hoist_random_uniform`
option of [`tf.data.Options`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/data/Options).

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| ## Args ||
|---|---|
| `seed` | A `Tensor` of type `int64`. A scalar seed for the random number generator. If either seed or seed2 is set to be non-zero, the random number generator is seeded by the given seed. Otherwise, a random seed is used. |
| `seed2` | A `Tensor` of type `int64`. A second scalar seed to avoid seed collision. |
| `output_types` | A list of `tf.DTypes` that has length `>= 1`. |
| `output_shapes` | A list of shapes (each a [`tf.TensorShape`](https://www.tensorflow.org/versions/r2.13/api_docs/python/tf/TensorShape) or list of `ints`) that has length `>= 1`. |
| `metadata` | An optional `string`. Defaults to `""`. |
| `name` | A name for the operation (optional). |

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

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