(self, model)
| 7 | |
| 8 | class augment_inputs_network(nn.Module): |
| 9 | def __init__(self, model): |
| 10 | super(augment_inputs_network, self).__init__() |
| 11 | self.model = model |
| 12 | self.adapter = nn.Conv2d(in_channels=6, out_channels=3, kernel_size=3, stride=1, padding=1) |
| 13 | |
| 14 | def forward(self, x): |
| 15 | x = self.adapter(x) |