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Signed-off-by: Onuralp SEZER <onuralp@ultralytics.com> Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
16 lines
948 B
Markdown
16 lines
948 B
Markdown
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description: Discover how to automatically select the most idle GPU using PyTorch and NVIDIA (nvidia-ml-py) with this AutoDevice script. Ideal for optimizing GPU usage in deep learning and computer vision tasks.
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keywords: Ultralytics, AutoDevice, GPU selection, PyTorch, NVML, pynvml, GPU monitoring, CUDA, deep learning, idle GPU, memory utilization, temperature, power usage
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---
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# Reference for `ultralytics/utils/autodevice.py`
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!!! note
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This file is available at [https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/autodevice.py](https://github.com/ultralytics/ultralytics/blob/main/ultralytics/utils/autodevice.py). If you spot a problem please help fix it by [contributing](https://docs.ultralytics.com/help/contributing/) a [Pull Request](https://github.com/ultralytics/ultralytics/edit/main/ultralytics/utils/autodevice.py) 🛠️. Thank you 🙏!
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<br>
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## ::: ultralytics.utils.autodevice.GPUInfo
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<br><br>
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