TypeError: roll(): argument 'shifts' must be tuple of ints, not tuple

[summer202203]

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Traceback (most recent call last):
File "train.py", line 680, in
main(opt)
File "train.py", line 575, in main
train(opt.hyp, opt, device, callbacks)
File "train.py", line 128, in train
model = Model(cfg, ch=3, nc=nc, anchors=hyp.get('anchors')).to(device) # create
File "/content/drive/MyDrive/yolov5/models/yolo.py", line 121, in init
m.stride = torch.tensor([s / x.shape[-2] for x in self.forward(torch.zeros(1, ch, s, s))]) # forward
File "/content/drive/MyDrive/yolov5/models/yolo.py", line 135, in forward
return self._forward_once(x, profile, visualize) # single-scale inference, train
File "/content/drive/MyDrive/yolov5/models/yolo.py", line 158, in _forward_once
x = m(x) # run
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/content/drive/MyDrive/yolov5/models/common.py", line 715, in forward
x = torch.roll(x, shifts=(self.shift_size, self.shift_size), dims=(1, 2))
TypeError: roll(): argument 'shifts' must be tuple of ints, not tuple

[positive666]

I think you using a swinblock wrapped in yolov7, which is a shift of the wrong type, this is a complete YAML structure that I haven't sorted out yet, What's Your Run Command?

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