(self,x)
| 44 | self.imgs = torch.nn.Linear(in_features=hidden_dim * 2,out_features=num_features) |
| 45 | |
| 46 | def forward(self,x): |
| 47 | x = self.initial_dense(x) |
| 48 | imgs = self.imgs(x) |
| 49 | imgs = imgs.view(-1,28,28) |
| 50 | return imgs |
| 51 | |
| 52 | |
| 53 | if __name__ == '__main__': |
nothing calls this directly
no outgoing calls
no test coverage detected