How to Implement Custom Regularization Losses on the Weights?

7

This what I do:

class YourModel(nn.Module):
    
    def __init__(self,x,y):
        super(MF, self).__init__()
         pass

    def init_weights(self):
        pass

    def regularization(self):
        return your regularization term 
        # example: return torch.sum(torch.pow(self.x.weight, 2)) + torch.sum(torch.pow(self.y.weight, 2))

    def forward(self):
        pass

and for Loss:

loss = criterion(pred, target) + lambda*(model.regularization())

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