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KarhouTam avatar KarhouTam commented on August 15, 2024

Hi, @WilliamLindskog.

You can customize the self.classifier in model class.

self.base = models.resnet18(
weights=models.ResNet18_Weights.DEFAULT if pretrained else None
)
self.classifier = nn.Linear(self.base.fc.in_features, config[dataset])
self.base.fc = nn.Identity()

but please ensure that the self.base and self.classifier contain all modules in your model.

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WilliamLindskog avatar WilliamLindskog commented on August 15, 2024

Hi, @KarhouTam,

Thank you for your prompt answer. With regards to ResNet, if I were to put the split point somewhere else rather than the final layer, would the following functions forward, get_all_features, and get_final_features generalize or would I need to customize them as well?

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KarhouTam avatar KarhouTam commented on August 15, 2024

You do not need to change these methods. These methods are not called by FedPer, except forward(),which should work properly if you set the base and classifier well.

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