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thunlp / KB2E

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
MIT License
1.4k stars 450 forks source link

论文中说训练3分钟，为什么我的得跑好几个小时。 #14

Closed lylalala closed 7 years ago

lylalala commented 7 years ago

大神们是在服务器上跑的？我训练的wn18，跑了6个小时。求解，祝好。

hfsugar commented 7 years ago

我也是要跑好几天。。有没有方法解决？

hfsugar commented 7 years ago

I have solved by multi-threads. @lylalala

kimiqq commented 7 years ago

can you share your code @hfsugar

hfsugar commented 7 years ago

就是官方出来的代码，不过多线程跑就行了

在2017年06月05日 16:00，kimiqq 写道:

can you share your code @hfsugar

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

kimiqq commented 7 years ago

能留个邮箱么，有些问题请教 @hfsugar

zhangyi85 commented 7 years ago

没有进行优化吧

Mrlyk423 commented 7 years ago

这是论文代码，没有进行优化，优化版见我们组github下FastTransX。

HongxuChenUQ commented 6 years ago

@kimiqq 你好，请问一下多线程实现了吗？ 能不能分享下 怎么写的？

kimiqq commented 6 years ago

https://github.com/thunlp/Fast-TransX

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发件人: HongxuChenUQ 发送时间: 2017年12月3日 7:56 收件人: thunlp/KB2E 抄送: kimiqq; Mention 主题: Re: [thunlp/KB2E] 论文中说训练3分钟，为什么我的得跑好几个小时。 (#14)

@kimiqq 你好，请问一下多线程实现了吗？ 能不能分享下 怎么写的？ — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.