Implementing local linear regression

1

I am trying to implement a local linear regression problem for each output. I have written this piece of code. But this code is not working.

Please help me how can I fix this.

    def __init__(self):             
        super(Net, self).__init__()   
        input_dim = 9
        self.layers = nn.ModuleList()       
        for ii in range(image_size):
            self.layers.append(nn.Linear(input_dim, 1))
        

    def forward(self, xt, c):       
        d = xt.shape[0]
        xt = xt.view(xt.size(0), -1)            
        out = Variable(torch.zeros(d, image_size), requires_grad=False)
 
        ii = 0
        for layer in self.layers[:-1]:             
                xx = xt[:,indices[ii]]
                le_xx = xx.shape[1]                
                if le_xx < 9:                  
                   xtt = torch.zeros(d, 9)
                   xtt[:, :le_xx] = xx
                else:
                   xtt = xx
                txt = layer(xtt)
                out[:, ii] = txt.squeeze()
                ii = ii+1
            
        xt = out
        xt = xt.view(d,3,64,64)
        return xt