(m)
| 25 | |
| 26 | |
| 27 | def init_weight(m): |
| 28 | if isinstance(m, nn.Conv1d) or isinstance(m, nn.Linear) or isinstance(m, nn.ConvTranspose1d): |
| 29 | nn.init.xavier_normal_(m.weight) |
| 30 | # m.bias.data.fill_(0.01) |
| 31 | if m.bias is not None: |
| 32 | nn.init.constant_(m.bias, 0) |
| 33 | |
| 34 | |
| 35 | def reparameterize(mu, logvar): |
nothing calls this directly
no outgoing calls
no test coverage detected