kaldi-asr/kaldi

Pytorchnn support multi-gpus

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#4,468 opened on Mar 4, 2021

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enhancementhelp wanted

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Description

Pytorchnn only uses one gpu. It's very inefficient when training a large amount of text.

Contributor guide

Research direction
Investigate the Kaldi nnet3 training pipeline to identify where single GPU usage is hardcoded. Implement multi GPU support using PyTorch's DistributedDataParallel or similar techniques tailored to Kaldi's architecture.
Tech stack
None
Domain
backendmachine learning
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
4
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
3-5 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
CUDAGPU programming
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30