(self, m, channel, num_classes)
| 222 | |
| 223 | class ClassifierModule(nn.Module): |
| 224 | def __init__(self, m, channel, num_classes): |
| 225 | super(ClassifierModule, self).__init__() |
| 226 | self.m = m |
| 227 | self.linear = nn.Linear(channel, num_classes) |
| 228 | |
| 229 | def forward(self, x): |
| 230 | res = self.m(x[-1]) |