(self, x)
| 55 | self.n_outputs = n_outputs |
| 56 | |
| 57 | def forward(self, x): |
| 58 | x = self.input(x) |
| 59 | x = self.dropout(x) |
| 60 | x = F.relu(x) |
| 61 | for hidden in self.hiddens: |
| 62 | x = hidden(x) |
| 63 | x = self.dropout(x) |
| 64 | x = F.relu(x) |
| 65 | x = self.output(x) |
| 66 | return x |
| 67 | |
| 68 | |
| 69 | class ResNet(torch.nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected