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Issue #, if available:
#3219
Description of changes:
learning_rate = tune.choice([1])
and running multiple runs will give different results.seed_everything
call happens infit
while this seed setting is not affecting hpo trials. This behavior can be verified by printing torch seed inside_fit
viatorch.random.initial_seed()
. Different runs will give different seed value.seed_everything
call to_fit
, which happens inside forked process created by ray and should fix the issueBy submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.