Need help for reconstracting your experiments

[wenhaowang1995]

Hi !
I install all the requirments by pip and when I run MAE code, here comes up with an error:

Traceback (most recent call last):
File "D:\mywork\Projects\PJ1\my_MAE_cifar\main.py", line 87, in <module>
rep, backward_indices = encoder(img0)
File "D:\Python\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "D:\mywork\Projects\PJ1\my_MAE_cifar\model.py", line 80, in forward
features = self.layer_norm(self.transformer(patches))
File "D:\Python\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "D:\Python\lib\site-packages\torch\nn\modules\container.py", line 141, in forward
input = module(input)
File "D:\Python\lib\site-packages\torch\nn\modules\module.py", line 1110, in _call_impl
return forward_call(*input, **kwargs)
File "D:\Python\lib\site-packages\timm\models\vision_transformer.py", line 268, in forward
x = x + self.drop_path1(self.ls1(self.attn(self.norm1(x))))
File "D:\Python\lib\site-packages\torch\nn\modules\module.py", line 1185, in getattr
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'Block' object has no attribute 'drop_path1'. Did you mean: 'drop_path'?

This seems to be a problem comes from TIMM package

While I look into the vision_transformer.py of TIMM package, it seems there is no problem with the drop_path1 and drop_path2.

Therefore could you please tell me which version of TIMM are you using? It is best if you could provide your torch and cuda version

[IcarusWizard]

Hi. The requirement file should already fix the timm to 0.4.21. Could you check whether the version is correct by running pip list?

[wenhaowang1995]

Oh, really thanks, I use an environment with higher edition timm and torch, therefore, it directly ignore the previous edition. I create new env and install the requirements. The problems solved.
Thank you very much.
All the best