Too many questions in this code

[ccyniubi]

Hello!

In avclassify_model.py -- class BaseClassifierModel(nn.Module):

    def encoder_process(self, modality_data : torch.Tensor, modality_name: str) -> torch.Tensor:
        
        encoder_name = self.enconders[modality_name]['name']
        if encoder_name == 'ResNet18':
            result = self.resnet(modality_data = modality_data, modality = modality_name)
        elif encoder_name == 'Transformer' or encoder_name == 'Transformer_':
            result = self.transformer_process(modality_data = modality_data, modality = modality_name)
        elif encoder_name == 'ViT_B':
            result = self.vit_process(modality_data = modality_data, modality = modality_name)
        elif encoder_name == 'Transformer_LA':
            result = self.transformer_process(modality_data = modality_data, modality = modality_name)

Focus on the " if encoder_name == 'ResNet18': result = self.resnet(modality_data = modality_data, modality = modality_name)" There is even nothing about fuction "self.resnet", there just a fuction named def resnet_process(self, modality_data : torch.Tensor, modality : str) -> torch.Tensor:
Is that fuction right?

Also there so many bugs in this code, I think you may have accidentally uploaded a wrong version. Do you have the latest correct version?
Looking forward to your reply.