human
I am working on the file "56_nalu/nalu_problem.ipynb".
The first task is:
Initialize second model and optimizer (closer to the paper)
Can you write Python code for it?
 ... What is a the Python code you requested?
assistant
#Here is the Python code you requested.

class MyModel2(nn.Module):
    def __init__(self):
        super().__init__()
        self.h1 = nn.Linear(1, 8)
        self.h2 = nn.Linear(8, 8)
        self.h3 = nn.Linear(8, 8)
        self.h4 = nn.Linear(8, 1)

    def forward(self, xb):
        res = torch.tanh(self.h1(xb))
        res = torch.tanh(self.h2(res))
        res = torch.tanh(self.h3(res))
        res = self.h4(res)
        return res

mod2 = MyModel2()
opt2 = optim.SGD(mod2.parameters(), lr=.01)

for epoch in tqdm(range(10)):
    for i in x:
        pred = mod2(i.unsqueeze(0))
        loss = loss_func(pred, i.unsqueeze(0))

        loss.backward()
        opt2.step()
        opt2.zero_grad()

mod2(Tensor([.3]))

mod2(Tensor([-1]))

points = [[x,mod2(Tensor([x])).item()] for x in np.linspace(-2,2,1000)]

plt.scatter([x[0] for x in points], [x[1] for x in points])
plt.scatter(np.linspace(-1,1,100),np.linspace(-1,1,100))