Getting error while training on YOLOv5 colab tutorial

[diya18114021]

Search before asking

• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

Training

Bug

Environment

• YOLOv5 Colab tutorial
• RAM - 16GB

Minimal Reproducible Example

No response

Additional

No response

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

👋 Hello @diya18114021, 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.

[diya18114021]

Minimal Reproducible example
!python train.py --img 640 --batch 16 --epochs 100 --data coco128.yaml --weights yolov5s.pt

[diya18114021]

@glenn-jocher I used Google Colab Tutorial on Windows 10, kindly give me any solution.

[CaptainArmenia]

I am experiencing the same error since I pulled the last version of master branch.

[elvinyeoh]

Same issue !!!

[StJuan1210]

For me it was fine about 10hrs ago but now same issue

[diya18114021]

It was fine for me also at 11pm yesterday.

…

On Sun, Sep 11, 2022, 11:52 Juan George Thomas ***@***.***> wrote: For me it was fine about 10hrs ago but now same issue — Reply to this email directly, view it on GitHub <#9365 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AK3DMYX4OEDBEAB5NPXWN33V5V3CLANCNFSM6AAAAAAQJRF7RM> . You are receiving this because you were mentioned.Message ID: ***@***.***>

[weepots]

I have been having issues toowith google collab, it also gives the same error when running locally using jupyter notebook

[glenn-jocher]

@diya18114021 I'm able to reproduce. Looking into this

[glenn-jocher]

@diya18114021 --device cpu works, so it's related to device selection somehow.

[glenn-jocher]

@diya18114021 @elvinyeoh @StJuan1210 @weepots good news 😃! Your original issue may now be fixed ✅ in PR #9367. AMP checks were loading the model in AutoShape which was updating the Detect() module export attribute to True. This been resolved now by running AMP checks on a deepcopy() version of the model rather than on the model itself.

PR has been verified in Colab and GPU training now works correctly.

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 🚀!