espnet2.torch_utils.set_all_random_seed.set_all_random_seed

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espnet2.torch_utils.set_all_random_seed.set_all_random_seed(seed: int)

Sets the random seed for all relevant libraries to ensure reproducibility.

This function sets the random seed for the built-in random module, NumPy, and PyTorch. By fixing the random seed, you can obtain the same results across multiple runs of your code, which is essential for debugging and testing.

• Parameters:seed (int) – The random seed value to be set for reproducibility.

Examples

>>> set_all_random_seed(42)
This will set the random seed for random, numpy, and torch to 42.

NOTE

It is advisable to call this function at the beginning of your script to ensure that all random number generation is controlled.