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import pytest
import torch
from mmdet.models.backbones import EfficientNet
def test_efficientnet_backbone():
"""Test EfficientNet backbone."""
with pytest.raises(AssertionError):
# EfficientNet arch should be a key in EfficientNet.arch_settings
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])
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