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