| 43 | |
| 44 | |
| 45 | class ExampleModel(nn.Module): |
| 46 | |
| 47 | def __init__(self): |
| 48 | super().__init__() |
| 49 | self.conv = nn.Linear(1, 1) |
| 50 | self.test_cfg = None |
| 51 | |
| 52 | def forward(self, imgs, rescale=False, return_loss=False): |
| 53 | return imgs |
| 54 | |
| 55 | def train_step(self, data_batch, optimizer, **kwargs): |
| 56 | outputs = { |
| 57 | 'loss': 0.5, |
| 58 | 'log_vars': { |
| 59 | 'accuracy': 0.98 |
| 60 | }, |
| 61 | 'num_samples': 1 |
| 62 | } |
| 63 | return outputs |
| 64 | |
| 65 | |
| 66 | @pytest.mark.skipif( |
no outgoing calls