zero.random.set_randomness

zero.random.set_randomness(seed=None, cudnn_deterministic=True, cudnn_benchmark=False, callback=<function _default_callback>)[source]

Set seeds and settings in random, numpy and torch.

Sets random seed for random, numpy.random, torch, torch.cuda, sets settings for torch.backends.cudnn and builds a NumPy random number generator.

Parameters

  • seed (Optional[int]) – the seed for all mentioned libraries. If omitted, a high-quality seed is generated (an integer that does not fit in int64). In any case, seed % (2 ** 32 - 1) will be used for everything except for building numpy.random.Generator.

  • cudnn_deterministic (bool) – value for torch.backends.cudnn.deterministic

  • cudnn_benchmark (bool) – value for torch.backends.cudnn.benchmark

  • callback (Optional[Callable[int, Any]]) – a function that takes the seed as the only argument. The default callback simply prints the seed via print which is convenient when seed is set to None.

Returns

A new style numpy random number generator constructed via numpy.random.default_rng (it should be used instead of functions from np.random, see the document).

Return type

numpy.random.Generator

Examples

rng = set_randomness()  # seed will be generated
rng = set_randomness(0)

Seed: ... (see zero.random.set_randomness)
Seed: 0 (see zero.random.set_randomness)