OpenNMT/OpenNMT-tf

Compatibility with Visualization Tool SeqtoSeq Vis /LSTMVis

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#478 创建于 2019年8月6日

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 (6 评论) (0 反应) (0 负责人)Python (1,428 star) (394 fork)batch import
help wantedquestion

描述

Hi,

I came across this Vis tool (Seq2seq vis or lstm vis) effectively shows some good visualizations for Sequence models. Looks like it uses model files form the other repo OpenNMT-py. Is there any way I can use this with the model files that are generated from this repo or out of box conversion to pyTorch models ? Otherwise I'm guessing I have to run the same experiments again with OpenNMT-py.

Thanks !

贡献者指南

技术栈
python
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。
3-5 days
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
TensorFlow model formatPyTorch model formatOpenNMT tf architectureModel conversion techniques
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。
20
研究方向
Investigate if there are any existing utilities in OpenNMT tf for exporting models to a format compatible with PyTorch based visualization tools. Check the repository's documentation and model export functions. If not, consider implementing a conversion script that maps TensorFlow model weights to PyTorch state dict. Also review the comments in issue #478 for any progress or suggestions from the community.