(pretrained, x)
| 7 | |
| 8 | |
| 9 | def forward_levit(pretrained, x): |
| 10 | pretrained.model.forward_features(x) |
| 11 | |
| 12 | layer_1 = pretrained.activations["1"] |
| 13 | layer_2 = pretrained.activations["2"] |
| 14 | layer_3 = pretrained.activations["3"] |
| 15 | |
| 16 | layer_1 = pretrained.act_postprocess1(layer_1) |
| 17 | layer_2 = pretrained.act_postprocess2(layer_2) |
| 18 | layer_3 = pretrained.act_postprocess3(layer_3) |
| 19 | |
| 20 | return layer_1, layer_2, layer_3 |
| 21 | |
| 22 | |
| 23 | def _make_levit_backbone( |
nothing calls this directly
no test coverage detected