human
I am working on the file "56_nalu/nalu_problem.ipynb".
The first task is:
Training and extrapolation work perfectly if we do not add any non-linearity. But adding any activation function makes extrapolation fail at some points. The first model uses RELU which is very close to linear.
Initialize model and optimizer
Can you write Python code for it?

Give me a the Python code you requested?
assistant
#Here is the Python code you requested.

class MyModel(nn.Module):
    def __init__(self):
        super().__init__()
        self.h1 = nn.Linear(1, 20)
        self.h2 = nn.Linear(20, 1)

    def forward(self, xb):
        return self.h2(F.relu(self.h1(xb)))

mod = MyModel()
opt = optim.SGD(mod.parameters(), lr=.05)

mod(Tensor([7]))