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@@ -38,7 +38,7 @@ class DecentralizedOptimizer(DecentralizedOptimizerBase):
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:param averaging_steps_period: performs averaging after this many optimizer steps
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:param averaging_time_period: if specified, optimizer will attempt to average weights at regular intervals of this
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many seconds. (averaging step will only occur if the optimizer ran `averaging_steps_period` steps in that interval)
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- :param report_progress_expiration: decentralized state time to live in dht
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+ :param report_progress_expiration: decentralized state time to live in dht
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:param timeout: if DecentralizedAverager step is unable to form group in this many seconds, cancel step
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:param verbose: if True, outputs additional information during averaging
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:param kwargs: additional parameters passed to TrainingAverager
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