(self,x)
| 114 | torch.nn.Linear(in_features=1024,out_features=1) |
| 115 | ) |
| 116 | def forward(self,x): |
| 117 | out = self.blocks(x) |
| 118 | return self.classifier(out) |
| 119 | |
| 120 | if __name__ == '__main__': |
| 121 | #96 x 96 => 24 x 24 |
nothing calls this directly
no outgoing calls
no test coverage detected