HongChuang/ultralytics-ascend
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 3

Update HUB SDK Docs (#13309)

Browse source 
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
This commit is contained in:
Glenn Jocher 2024-06-02 21:39:34 +02:00 • committed by GitHub
parent 064e2fd282
commit 2684bcdc7d
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
307 changed files with 774 additions and 747 deletions
Download patch file Download diff file Expand all files Collapse all files

4
docs/en/yolov5/tutorials/multi_gpu_training.md
View file

@ -1,7 +1,7 @@
---
comments: true
description: Learn how to train datasets on single or multiple GPUs using YOLOv5. Includes setup, training modes and result profiling for efficient leveraging of multiple GPUs.
keywords: YOLOv5, multi-GPU Training, YOLOv5 training, deep learning, machine learning, object detection, Ultralytics
description: Learn how to train YOLOv5 on multiple GPUs for optimal performance. Guide covers single and multiple machine setups.
keywords: YOLOv5, multiple GPUs, machine learning, deep learning, PyTorch, data parallel, distributed data parallel
---
📚 This guide explains how to properly use **multiple** GPUs to train a dataset with YOLOv5 🚀 on single or multiple machine(s).