How does Pytorch handles backpropagation in this case?

Question

class ExNet(nn.Module):
    def __init__(self):
        super(ExNet,self).__init__()
        self.fc1 = nn.Linear(1024,500)
        self.fc2 = nn.Linear(500,100)