kaldi-asr/kaldi

Multi-GPU training capability for the Pytorch Transformer LM training script - https://github.com/kaldi-asr/kaldi/blob/master/egs/wsj/s5/local/pytorchnn/run_nnlm.sh

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#4,699 创建于 2022年2月16日

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 (3 评论) (0 反应) (0 负责人)Shell (15,392 star) (5,359 fork)batch import
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描述

I used the script ### https://github.com/kaldi-asr/kaldi/blob/master/egs/wsj/s5/local/pytorchnn/run_nnlm.sh, but I could not figure out how we could distribute the training of Transformer based LM on multiple GPUs in order to speed-up the Pytorch training. Please suggest if there is any way to do so.

Thanks!

贡献者指南

技术栈
pythonpytorch
领域
machine learningperformance
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。
4
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。
over 1 week
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。
unclear
前置要求
PyTorch basicsDistributed training concepts
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 adding multi GPU support to the PyTorch Transformer LM training script at kaldi/egs/wsj/s5/local/pytorchnn/run nnlm.sh. Review PyTorch's DistributedDataParallel (DDP) and how it can be integrated. Check if the script already has any GPU options. Look at comments from maintainers for guidance.