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意义不大,可以自己写一个,我这边从来没遇到过。另外你内存多少() |
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内存16G,数据集的wavs文件夹里算上.wav emo和bert一共不到1G,那个模型也才2G,不知道为什么会卡住(windows的表都不走了) |
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bert模型的话加载是比较吃内存的,可以尝试开1 worker,另外16G跑训练确实捉襟见肘了 |
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bert_gen.py里一个with open干爆了我的内存和虚拟内存。能不能当数据集很大时分批预处理
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