| import torch.nn as nn | |
| class LinearModel(nn.Module): | |
| def __init__(self): | |
| super().__init__() | |
| self.net = nn.Sequential( | |
| nn.Linear(1,16), | |
| nn.ReLU(), | |
| nn.Linear(16,1) | |
| ) | |
| def forward(self, x): | |
| return self.net(x) | |
| import torch.nn as nn | |
| class LinearModel(nn.Module): | |
| def __init__(self): | |
| super().__init__() | |
| self.net = nn.Sequential( | |
| nn.Linear(1,16), | |
| nn.ReLU(), | |
| nn.Linear(16,1) | |
| ) | |
| def forward(self, x): | |
| return self.net(x) | |