如何将参数传递到构造函数中?

class Net(nn.Module):
    def __init__(self):
        super(Net, self).__init__()

        self.conv1 = nn.Conv2d(1,6,5)
        self.conv2 = nn.Conv2d(6, 16, 5)
        self.fc1 = nn.Linear(16*5*5, 120)
        self.fc2 = nn.Linear(120, 84)
        self.fc3 = nn.Linear(84, 10)

     def forward(self, x):
            x = F.max_pool2d(F.relu(self.conv1(x)), (2,2))
            x = F.max_pool2d(F.relu(self.conv2(x)), 2)
            x = x.view(-1, self.num_flat_features(x))
            x = F.relu(self.fc1(x))
            x = F.relu(self.fc2(x))
            x = self.fc3(x)

            return x

    def num_flat_features(self, x):
        size = x.size()[1:]
        num_features = 1
        for s in size:
            num_features *= s

        return num_features

net = Net()

input = torch.randn(1,1,32,32)
out = net(input)

print(out)

input = torch.randn(1,1,32,32)
out = net(input)

在 初始化时,我看不到如何使用“输入”进行初始化。