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the GPU devices number problem #6431

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Description

@Ethan-niu

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  • I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

Multi-GPU

Bug

First thank you for your great work!
In the latest verson, when i make the opt parameter device="0", it also use all GPUs.
When I check the function select_device, I found that the potision of 'os.environ['CUDA_VISIBLE_DEVICES'] = device' has an effect on the results. When I put it on the first line of the 'elif device' section, then it works, I dont know why ?

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Are you willing to submit a PR?

  • Yes I'd like to help by submitting a PR!

Activity

  1. github-actions commented on Jan 26, 2022

    @github-actions
    Contributor

    👋 Hello @Ethan-niu, 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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  2. glenn-jocher commented on Jan 26, 2022

    @glenn-jocher
    Member

    @Ethan-niu thanks for the bug report! I'm able to reproduce the same bug, yes you are right the location in the if statement seems to affect the behavior, it's strange, I'm not sure why either.

  3. linked a pull request that will close this issueFix `select_device()` for Multi-GPU #6434on Jan 26, 2022
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