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 建立於 2022年2月16日

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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!

貢獻者指南

技術棧
pythonpytorch
領域
machine learningperformance
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
4
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
over 1 week
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
unclear
前置要求
PyTorch basicsDistributed training concepts
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
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.