(m)
| 4 | |
| 5 | |
| 6 | def weights_init_normal(m): |
| 7 | classname = m.__class__.__name__ |
| 8 | if classname.find("Conv") != -1: |
| 9 | torch.nn.init.normal_(m.weight.data, 0.0, 0.02) |
| 10 | if hasattr(m, "bias") and m.bias is not None: |
| 11 | torch.nn.init.constant_(m.bias.data, 0.0) |
| 12 | elif classname.find("BatchNorm2d") != -1: |
| 13 | torch.nn.init.normal_(m.weight.data, 1.0, 0.02) |
| 14 | torch.nn.init.constant_(m.bias.data, 0.0) |
| 15 | |
| 16 | |
| 17 | ############################## |
nothing calls this directly
no outgoing calls
no test coverage detected