(self, features)
| 154 | self.preprocessing_modules.append(module) |
| 155 | |
| 156 | def forward(self, features): |
| 157 | _features = [] |
| 158 | for module, feature in zip(self.preprocessing_modules, features): |
| 159 | _features.append(module(feature)) |
| 160 | return torch.stack(_features, dim=1) |
| 161 | |
| 162 | |
| 163 | class MeanMapper(torch.nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected