facebookresearch/maskrcnn-benchmark

why only one gpu be used when I launch mutil gpu train?

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#325 opened on Jan 8, 2019

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Description

❓ Questions and Help

when I launch multi gpu train use this command:

python -m torch.distributed.launch --nproc_per_node=2 /path_to_maskrcnn_benchmark/tools/train_net.py --config-file "path/to/config/file.yaml"

and it's run in docker container env, there are have two p40 in docker, but it seems that only one GPU is being used. image

and there are actually two processes running image

What could be the reason?

Contributor guide

Research direction
Check Docker container GPU visibility with 'nvidia smi'. Ensure CUDA VISIBLE DEVICES includes both GPUs. Verify distributed process group initialization and NCCL backend usage.
Tech stack
pythonpytorch
Domain
machine learningbackend
Issue type
Bug
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.
1-3 hours
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.
Clear
Prerequisites
PyTorchDocker
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
30