mirror of
https://github.com/ultralytics/ultralytics
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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
20 lines
856 B
Markdown
20 lines
856 B
Markdown
---
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description: Discover how to automatically estimate the best YOLO batch size for optimal CUDA memory usage in PyTorch using Ultralytics' autobatch utility.
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keywords: YOLO batch size, CUDA memory, PyTorch autobatch, Ultralytics, machine learning, optimal batch size, training batch size, YOLO model
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---
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# Reference for `ultralytics/utils/autobatch.py`
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!!! success "Improvements"
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This page is sourced from [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/autobatch.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/autobatch.py). Have an improvement or example to add? Open a [Pull Request](https://docs.ultralytics.com/help/contributing/) — thank you! 🙏
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<br>
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## ::: ultralytics.utils.autobatch.check_train_batch_size
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<br><br><hr><br>
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## ::: ultralytics.utils.autobatch.autobatch
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<br><br>
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