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Mar 11, 2022
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Improve test of backbone utils #5552

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10 changes: 8 additions & 2 deletions test/test_backbone_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@
from common_utils import set_rng_seed
from torchvision import models
from torchvision.models._utils import IntermediateLayerGetter
from torchvision.models.detection.backbone_utils import mobilenet_backbone, resnet_fpn_backbone
from torchvision.models.detection.backbone_utils import BackboneWithFPN, mobilenet_backbone, resnet_fpn_backbone
from torchvision.models.feature_extraction import create_feature_extractor, get_graph_node_names


Expand All @@ -19,7 +19,9 @@ def get_available_models():
@pytest.mark.parametrize("backbone_name", ("resnet18", "resnet50"))
def test_resnet_fpn_backbone(backbone_name):
x = torch.rand(1, 3, 300, 300, dtype=torch.float32, device="cpu")
y = resnet_fpn_backbone(backbone_name=backbone_name, pretrained=False)(x)
model = resnet_fpn_backbone(backbone_name=backbone_name, pretrained=False)
assert isinstance(model, BackboneWithFPN)
y = model(x)
assert list(y.keys()) == ["0", "1", "2", "3", "pool"]

with pytest.raises(ValueError, match=r"Trainable layers should be in the range"):
Expand All @@ -38,6 +40,10 @@ def test_mobilenet_backbone(backbone_name):
mobilenet_backbone(backbone_name, False, fpn=True, returned_layers=[-1, 0, 1, 2])
with pytest.raises(ValueError, match=r"Each returned layer should be in the range"):
mobilenet_backbone(backbone_name, False, fpn=True, returned_layers=[3, 4, 5, 6])
model_fpn = mobilenet_backbone(backbone_name, False, fpn=True)
assert isinstance(model_fpn, BackboneWithFPN)
model = mobilenet_backbone(backbone_name, False, fpn=False)
assert isinstance(model, torch.nn.Sequential)


# Needed by TestFxFeatureExtraction.test_leaf_module_and_function
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