|---| | [ View source on GitHub](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/random/random_ops.py#L104-L178) | Generates `Tensor` drawn from a uniform distribution on the sphere. tfp.random.spherical_uniform( shape, dimension, dtype=tf.float32, seed=None, name=None ) ### Used in the notebooks | Used in the tutorials | |---| | - [TFP Release Notes notebook (0.13.0)](https://www.tensorflow.org/probability/examples/TFP_Release_Notebook_0_13_0) |


| ## Args || |---|---| | `shape` | Vector-shaped, `int` `Tensor` representing shape of output. | | `dimension` | Scalar `int` `Tensor`, representing the dimensionality of the space where the sphere is embedded. | | `dtype` | (Optional) TF `dtype` representing `dtype` of output. Default value: [`tf.float32`](https://www.tensorflow.org/api_docs/python/tf#float32). | | `seed` | PRNG seed; see [`tfp.random.sanitize_seed`](https://www.tensorflow.org/probability/api_docs/python/tfp/random/sanitize_seed) for details. Default value: `None` (i.e., no seed). | | `name` | Python `str` name prefixed to Ops created by this function. Default value: `None` (i.e., 'random_spherical_uniform'). |



| ## Returns || |---|---| | `spherical_uniform` | `Tensor` with specified `shape` and `dtype` consisting of real values drawn from a spherical uniform distribution. |