Comments (2)
你好,如果你训练的时候batch size很小 可以用nltk 来实现 但对一些MT数据集 batch > 100 如果不用GPU算相似度 而使用类似于NLTK的库将会显著增加训练时间,我们的代码实现是利用torch算的可以充分利用batch维度并行,速度很快。
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好的,感谢回复
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Related Issues (9)
- About target feature representations from the decoder. HOT 1
- When will the code be made avaliable? HOT 3
- 代码的问题 HOT 1
- function `torch_bleu` producing inappropriate results HOT 3
- 数据读取部分的问题 HOT 3
- 一个读取模型部分的小bug HOT 1
- Eval时的报错 HOT 1
- 关于运行配置和训练时间 HOT 1
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