(self,z)
| 31 | self.linear3 = nn.Linear(128,256) |
| 32 | |
| 33 | def forward(self,z): |
| 34 | z = F.relu(self.linear1(z)) |
| 35 | z = F.relu(self.linear2(z)) |
| 36 | z = self.linear3(z) |
| 37 | return z |
| 38 | |
| 39 | class VariationalAutoencoder(nn.Module): |
| 40 | def __init__(self, latent_dims): |
nothing calls this directly
no outgoing calls
no test coverage detected