Can't run with GPU, but worked with CPU

[forallsunday]

Windows 10 , RTX 3080, CUDA 11.0, cudnn 8.04, pytorch 1.7.0 When I typyed "python detect.py --source data/images --weights yolov5s.pt --conf 0.25" It shows: RuntimeError: Expected object of device type cuda but got device type cpu for argument #1 'self' in call to _thnn_conv2d_forward.

But it was Ok "python detect.py --source data/images --weights yolov5s.pt --conf 0.25 --device CPU"

It seems ocurred in the function "attempt_load".

[github-actions[bot]]

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Requirements

Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7. To install run:

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[JunnYu]

1447

change line 156

https://github.com/ultralytics/yolov5/blob/bd29a1c94672d6e5c5e5735549ad2f88ab787012/utils/torch_utils.py#L153-L160

flops = profile(deepcopy(model), inputs=(torch.zeros(1, 3, stride, stride).to(next(model.parameters()).device),), verbose=False)[0] / 1E9 * 2

[glenn-jocher]

@JunnYu ah of course. Thanks for spotting this bug! I will take a look at the PR.