(self,in_features = 784,out_features = 128)
| 10 | |
| 11 | class Decoder(torch.nn.Module): |
| 12 | def __init__(self,in_features = 784,out_features = 128): |
| 13 | super(Decoder, self).__init__() |
| 14 | self.decoder = torch.nn.Sequential( |
| 15 | torch.nn.Linear(in_features=out_features, out_features=256), |
| 16 | torch.nn.ReLU(), |
| 17 | |
| 18 | torch.nn.Linear(in_features=256, out_features=512), |
| 19 | torch.nn.ReLU(), |
| 20 | |
| 21 | torch.nn.Linear(in_features=512, out_features=in_features) |
| 22 | ) |
| 23 | def forward(self,x): |
| 24 | out = self.decoder(x) |
| 25 | out = out.view(-1,28,28) |
nothing calls this directly
no outgoing calls
no test coverage detected