when export model file，report an error

[jobsjiang]

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• I have searched the YOLOv5 issues and discussions and found no similar questions.

Question

custom model traing，Classes = 2，when export model file with --train report an error， if not with --train no error

Traceback (most recent call last):
  File "export.py", line 595, in <module>
    main(opt)
  File "export.py", line 590, in main
    run(**vars(opt))
  File "/root/anaconda3/envs/yolov5/lib/python3.8/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "export.py", line 499, in run
    shape = tuple((y[0] if isinstance(y, tuple) else y).shape)  # model output shape
AttributeError: 'list' object has no attribute 'shape'

Additional

No response

[github-actions]

👋 Hello @jobsjiang, 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.

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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

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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.

[glenn-jocher]

@jobsjiang I'm able to reproduce this with python export.py --train

I was thinking of deprecating this setting as normal workflows don't involve training on exported models. What is your use case or workflow? Thanks!

[jobsjiang]

@jobsjiang I'm able to reproduce this with python export.py --train

I was thinking of deprecating this setting as normal workflows don't involve training on exported models. What is your use case or workflow? Thanks!

I just convert list to array to avoid the error，now finding the reason of the error

[glenn-jocher]

@jobsjiang good news 😃! Your original issue may be fixed ✅ in PR #9429. This PR removes train mode exports, which have no common use cases and are not currently working in master.

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 🚀!