o %ݫi` @sZdZddlZddlZddlZddlmZeeZdZdZ d de de d e d e fd d Z dS)zASeed utilities for reproducibility. Authors * Adel Moumen 2024 N) get_loggerlTFseedverbose deterministicreturncCst|kr tksnt|dtdtt}|r$td|t|tjd<t|z ddl }|j|Wn t yEYnwt |t j ||rXt d|S)a*Function that sets the seed for pseudo-random number generators in: torch, numpy, and Python's random module. Important note on DDP: all DDP process have the same seed. This is important to ensure that parameters without a require_grad set to True are the same across processes. This must be taken into account if one wants to build a custom data sampler as the processes would pick the same samples... SpeechBrain takes care of that internally. Arguments --------- seed: int the integer value seed for global random state. verbose: bool Whether to print a message on each rank with the seed being set. deterministic: bool Whether to set the seed for deterministic operations. Returns ------- int The seed that was set. z& is not in bounds, numpy accepts from z to zSetting seed to SB_GLOBAL_SEEDrNT)min_seed_valuemax_seed_valueloggerinfostrosenvironrandomrnumpy ImportErrortorch manual_seedcudamanual_seed_alluse_deterministic_algorithms)rrrnprJ/home/ubuntu/.local/lib/python3.10/site-packages/speechbrain/utils/seed.pyseed_everythings(     r)rTF) __doc__r rrspeechbrain.utils.loggerr__name__r r rintboolrrrrrs$