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We could just delete this assertion. Or we could just set the model to eval mode. Contrary to the name, it has nothing to do with whether the model is trainable or not. Eval mode just turns off train time behavior. Historically, this meant no dropout and using stored batch norm statistics rather than per-batch statistics. With modern LLM’s, this means, well, nothing—there typically are no train time specific behaviors. requires_grad controls whether gradients are tracked and only the parameters passed to the optimizer are updated.
λ侠：乌龟你推断只要存在潮湿人行道——即$P$——就能推出天有云——即$R$
Пожар вспыхнул на территории нефтебазы в российском городе из-за атаки БПЛА02:39
美军在伊朗遗失GBU-39高精度炸弹伊朗境内发现完好无损的美军GBU-39高精度炸弹