(self, input, model)
| 434 | p.requires_grad = False |
| 435 | |
| 436 | def forward(self, input, model): |
| 437 | if model == "online": |
| 438 | return self.online(input) |
| 439 | elif model == "target": |
| 440 | return self.target(input) |
| 441 | |
| 442 | def __build_cnn(self, c, output_dim): |
| 443 | return nn.Sequential( |
nothing calls this directly
no outgoing calls
no test coverage detected