| import pytest |
| import torch |
|
|
| from mmdet.models.backbones import EfficientNet |
|
|
|
|
| def test_efficientnet_backbone(): |
| """Test EfficientNet backbone.""" |
| with pytest.raises(AssertionError): |
| |
| EfficientNet(arch='c3') |
|
|
| model = EfficientNet(arch='b0', out_indices=(0, 1, 2, 3, 4, 5, 6)) |
| model.train() |
|
|
| imgs = torch.randn(2, 3, 32, 32) |
| feat = model(imgs) |
| assert len(feat) == 7 |
| assert feat[0].shape == torch.Size([2, 32, 16, 16]) |
| assert feat[1].shape == torch.Size([2, 16, 16, 16]) |
| assert feat[2].shape == torch.Size([2, 24, 8, 8]) |
| assert feat[3].shape == torch.Size([2, 40, 4, 4]) |
| assert feat[4].shape == torch.Size([2, 112, 2, 2]) |
| assert feat[5].shape == torch.Size([2, 320, 1, 1]) |
| assert feat[6].shape == torch.Size([2, 1280, 1, 1]) |
|
|
