(self,x)
| 51 | *layers |
| 52 | ) |
| 53 | def forward(self,x): |
| 54 | x = self.initial(x) |
| 55 | out= self.model(x) |
| 56 | return out |
| 57 | |
| 58 | if __name__ == '__main__': |
| 59 | x = torch.randn(size = (5,3,256,256),device='cpu') |
nothing calls this directly
no outgoing calls
no test coverage detected