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Multigpu training becomes slower in Kaggle #10078

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BraunGe opened this issue Nov 8, 2022 · 3 comments
Closed
1 task done

Multigpu training becomes slower in Kaggle #10078

BraunGe opened this issue Nov 8, 2022 · 3 comments
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question Further information is requested Stale Stale and schedule for closing soon

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@BraunGe
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BraunGe commented Nov 8, 2022

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Hello,

Recently, Kaggle begun to provide T42 GPU option. However, I found that when I train the YOLOv5s with single P100, it is much faster than T42. The batch size for P100 is 64, for T4*2 is 128 (64 each).

In my mind, if we double the batch size, it could run faster.

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@BraunGe BraunGe added the question Further information is requested label Nov 8, 2022
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github-actions bot commented Nov 8, 2022

👋 Hello @BraunGe, 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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If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

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git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
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@glenn-jocher
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glenn-jocher commented Nov 8, 2022

@BraunGe this is incorrect multi-GPU usage. See Multi-GPU tutorial for correct usage:

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Good luck 🍀 and let us know if you have any other questions!

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github-actions bot commented Dec 9, 2022

👋 Hello, this issue has been automatically marked as stale because it has not had recent activity. Please note it will be closed if no further activity occurs.

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Feel free to inform us of any other issues you discover or feature requests that come to mind in the future. Pull Requests (PRs) are also always welcomed!

Thank you for your contributions to YOLOv5 🚀 and Vision AI ⭐!

@github-actions github-actions bot added the Stale Stale and schedule for closing soon label Dec 9, 2022
@github-actions github-actions bot closed this as not planned Won't fix, can't repro, duplicate, stale Dec 20, 2022
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