facebookresearch/maskrcnn-benchmark

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

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#325 创建于 2019年1月8日

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描述

❓ 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?

贡献者指南

技术栈
pythonpytorchdocker
领域
machine learningperformance
议题类型
research
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。
3
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。
half day
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。
mostly clear
前置要求
PyTorch distributed trainingDocker GPU passthroughMulti GPU setup
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。
15
研究方向
Investigate whether the Docker container has access to both GPUs by running `nvidia smi` inside the container. Check the environment variable `CUDA VISIBLE DEVICES` and ensure it includes both GPU IDs. Additionally, review the PyTorch distributed training initialization in the repository to confirm it correctly uses the world size and rank from the launcher. Look at the training script for any hardcoded GPU indices.
why only one gpu be used when I launch mutil gpu train? · facebookresearch/maskrcnn-benchmark#325 | Good First Issue