(self, x)
| 213 | self.m = nn.ModuleList(parallel_modules) |
| 214 | |
| 215 | def forward(self, x): |
| 216 | res = [] |
| 217 | for i in range(len(x)): |
| 218 | res.append(self.m[i](x[i])) |
| 219 | |
| 220 | return res |
| 221 | |
| 222 | |
| 223 | class ClassifierModule(nn.Module): |
nothing calls this directly
no outgoing calls
no test coverage detected