|---| | [ View source on GitHub](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/internal/samplers.py#L219-L258) | Splits a seed into `n` derived seeds. tfp.random.split_seed( seed, n=2, salt=None, name=None ) ### Used in the notebooks | Used in the tutorials | |---| | - [TFP Release Notes notebook (0.12.1)](https://www.tensorflow.org/probability/examples/TFP_Release_Notebook_0_12_1) - [TFP Release Notes notebook (0.13.0)](https://www.tensorflow.org/probability/examples/TFP_Release_Notebook_0_13_0) | See https://github.com/tensorflow/probability/blob/main/PRNGS.md for details. Args: seed: The seed to split; may be an `int`, an `(int, int) tuple`, or a `Tensor`. `int` seeds are converted to `Tensor` seeds using [`tf.random.uniform`](https://www.tensorflow.org/api_docs/python/tf/random/uniform) stateful sampling. Tuples are converted to `Tensor`. n: The number of splits to return. In TensorFlow, if `n` is an integer, this function returns a list of seeds and otherwise returns a `Tensor` of seeds. In JAX, this function always returns an array of seeds. salt: Optional `str` salt to mix with the seed. name: Optional name to scope related ops.


| ## Returns || |---|---| | `seeds` | If `n` is a Python `int`, a `tuple` of seed values is returned. If `n` is an int `Tensor`, a single `Tensor` of shape `[n, 2]` is returned. A single such seed is suitable to pass as the `seed` argument of the `tf.random.stateless_*` ops. |