Xception finetune

I am a pytorch learner ang i want to finetune xception network .When i run the following :

import pretrainedmodels 
model_name = 'xception'
(num_classes=1000, pretrained='imagenet')

i get the follwing error:

RuntimeError: Error(s) in loading state_dict for Xception:
        While copying the parameter named "block1.rep.0.pointwise.weight", whose dimensions in the model are torch.Size([128, 64, 1, 1]) and whose dimensions in the checkpoint are torch.Size([128, 64]).

Could you please tell me how to deal with it?

Could you tell where the pretrained model is defined? It doesn’t seem to be included in the torchvision models.

PS: I’ve edited your post to add some code formatting, since it was quite hard to read.

I use the pretrainedmodels ,this is the link:

Thanks for the link. It’s a known issue in the repo with a posted workaround. The author, @Cadene, is apparently working on it.

thank you very much for your help.I am going to try it.