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| description | keywords |
|---|---|
| Discover how to automatically select the most idle GPU using PyTorch and NVML (pynvml) with this AutoDevice script. Ideal for optimizing GPU usage in deep learning and computer vision tasks. | Ultralytics, AutoDevice, GPU selection, PyTorch, NVML, pynvml, GPU monitoring, CUDA, deep learning, idle GPU, memory utilization, temperature, power usage |
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ultralytics/utils/autodevice.py!!! note
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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