How to select other devices when run a job with single GPU? -YOLOv5 for HPC usage

Hi, it's a student who just started to learn deep learning.

I'm trying to run yolov5 with SLURM scheduler. When I submit a job, the scheduler will reserve CPUs or GPUs randomly as much as I requested.

And it is ok to yolov5 either, when multi GPUs job. But, when I'm trying to submit single GPU job, it seems yolov5 automatically allocate GPU No.0 only even though I put "python -m torch.distributed.launch --nproc_per_node 1 train.py --batch 12 --data coco.yaml --weights yolov5n.pt --device 1" To use my scheduler and yolov5 simultaneously, it must be a big obstacle because, multiple single GPU jobs will cause memory shortage in GPU No. 0.

So, if it is possible, I want to fix the default device select settings which selects device 0 automatically. How can I fix it?

Thank you very much for your help in advance. Regards, -Young-

👋 Hello @Jeon-YoungGyu, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

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cd yolov5
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