Difference between apply an call for an autograd function

3

Ok, I see, thanks. Since I want to have a scalar parameter for my function, if I want to use the new style, I need to pass it as an argument to the forward then, and save it for backwards ?

I did this :

class F(torch.autograd.Function):
    def __init__(self, gamma=0.1):
        super().__init__()
        self.gamma = gamma

    def forward(self, args):
        pass
    def backward(self, args):
        pass