Invalid device 0 - ERROR #6456

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1. nk646

   added

   questionFurther information is requestedFurther information is requested

   on Jan 27, 2022
2. github-actions commented on Jan 27, 2022

   

   github-actionsBot

   on Jan 27, 2022

   Last edited by UltralyticsAssistant

   Contributor

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   👋 Hello @nk646, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

   If this is a 🐛 Bug Report, please provide screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.

   If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available.

   For business inquiries or professional support requests please visit https://ultralytics.com or email support@ultralytics.com.

   Requirements

   Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

   git clone https://github.com/ultralytics/yolov5  # clone
   cd yolov5
   pip install -r requirements.txt  # install

   Environments

   YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

   • Google Colab and Kaggle notebooks with free GPU:
   • Google Cloud Deep Learning VM. See GCP Quickstart Guide
   • Amazon Deep Learning AMI. See AWS Quickstart Guide
   • Docker Image. See Docker Quickstart Guide

   Status

   

   If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training (train.py), validation (val.py), inference (detect.py) and export (export.py) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
3. nk646

   closed this as completedon Jan 27, 2022
4. glenn-jocher commented on Jan 27, 2022

   

   glenn-jocher

   on Jan 27, 2022

   Member

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   @nk646 your environment has no available GPUs
5. lukaslakas31 commented on Jan 28, 2022

   

   lukaslakas31

   on Jan 28, 2022

   Last edited by lukaslakas31

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   having the same issue. what solutions can be done?
   i have installed CUDA and CUDNN on my system.
6. glenn-jocher

   linked a pull request that will close this issueFix2 `select_device()` for Multi-GPU #6461on Jan 28, 2022
7. glenn-jocher commented on Jan 28, 2022

   

   glenn-jocher

   on Jan 28, 2022

   Last edited by UltralyticsAssistant

   Member

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   @nk646 @lukaslakas31 good news 😃! Your original issue may now be fixed ✅ in PR #6461. To receive this update:

   • Git – git pull from within your yolov5/ directory or git clone https://github.com/ultralytics/yolov5 again
   • PyTorch Hub – Force-reload model = torch.hub.load('ultralytics/yolov5', 'yolov5s', force_reload=True)
   • Notebooks – View updated notebooks
   • Docker – sudo docker pull ultralytics/yolov5:latest to update your image

   Thank you for spotting this issue and informing us of the problem. Please let us know if this update resolves the issue for you, and feel free to inform us of any other issues you discover or feature requests that come to mind. Happy trainings with YOLOv5 🚀!