open-mmlab/mmsegmentation

ERROR:torch.distributed.elastic.multiprocessing.api:failed

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#1,593 opened on May 18, 2022

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Description

I write my own dataset class and dataloader, and while train with mmcv.runner, I get the error "ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 1 (pid: 2762685)". I cannot locate the key problem according to this error report. How to resolve this issue?

Contributor guide

Research direction
Inspect the distributed training error and trace the custom dataset implementation to find the cause of the worker failure.
Tech stack
pythonpytorch
Domain
backend
Issue type
Bug
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Mostly clear
Prerequisites
PythonPyTorchmmcv
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
45