FluxML/Flux.jl

'cell_clip' and 'proj_clip' for Flux: LSTM

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#653 创建于 2019年3月1日

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 (1 评论) (0 反应) (0 负责人)Julia (4,725 star) (619 fork)batch import
enhancementhelp wanted

描述

Looking through the docs. , I found that this feature is missing for LSTM layers. It comes as an optional parameter in tensorflow LSTMCell This will be useful for porting stuff to flux while achieving the same results as from tensorflow implementations for some popular algorithms (like ELMo). Looking in the code base of tensorflow if says that it clip the value of cell states between [-cell_clip, cell_clip] in it's clip_by_value method.

贡献者指南

技术栈
无
领域
machine learning
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-3 hours
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
Familiarity with LSTM internalsJulia basicsFlux.jl library structure
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
30
研究方向
The issue requests adding cell clip and proj clip parameters to LSTM layers in Flux.jl. To implement, first locate the existing LSTM implementation in the Flux source, likely in `src/layers/stateless.jl` or similar. Study how TensorFlow's LSTMCell applies clipping using `clip by value`. Then modify the Flux LSTM forward pass to optionally clip cell and hidden states. Consider adding a new keyword argument to the LSTM constructor and integrating it into the recurrent cell computation. Finally, write tests to verify the clipping behavior matches TensorFlow's. Review any linked PRs or comments for additional context.
'cell_clip' and 'proj_clip' for Flux: LSTM · FluxML/Flux.jl#653 | Good First Issue