---
title: utils.autobatch API Reference
description: Discover how to automatically estimate the best YOLO batch size for optimal CUDA memory usage in PyTorch using Ultralytics' autobatch utility.
keywords: YOLO batch size, CUDA memory, PyTorch autobatch, Ultralytics, machine learning, optimal batch size, training batch size, YOLO model
---

# Reference for `ultralytics/utils/autobatch.py`

!!! success "Improvements"

    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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## ::: ultralytics.utils.autobatch.check_train_batch_size

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## ::: ultralytics.utils.autobatch.autobatch

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