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Merged
merged 2 commits into from
Oct 12, 2024
Merged

Update test_models.py #940

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ea54d93
Update test_models.py
brianhou0208 Oct 10, 2024
8df56dd
Update test_models.py
brianhou0208 Oct 12, 2024
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27 changes: 21 additions & 6 deletions tests/test_models.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,19 +23,21 @@ def get_encoders():

def get_sample(model_class):
if model_class in [
smp.Unet,
smp.Linknet,
smp.FPN,
smp.PSPNet,
smp.Linknet,
smp.Unet,
smp.UnetPlusPlus,
smp.MAnet,
smp.UPerNet,
]:
sample = torch.ones([1, 3, 64, 64])
elif model_class == smp.PAN:
sample = torch.ones([2, 3, 256, 256])
elif model_class == smp.DeepLabV3:
elif model_class in [smp.DeepLabV3, smp.DeepLabV3Plus]:
sample = torch.ones([2, 3, 128, 128])
elif model_class in [smp.PSPNet, smp.UPerNet]:
# Batch size 2 needed due to nn.BatchNorm2d not supporting (1, C, 1, 1) input
# from PSPModule pooling in PSPNet/UPerNet.
sample = torch.ones([2, 3, 64, 64])
else:
raise ValueError("Not supported model class {}".format(model_class))
return sample
Expand Down Expand Up @@ -102,6 +104,8 @@ def test_forward(model_class, encoder_name, encoder_depth, **kwargs):
smp.UnetPlusPlus,
smp.MAnet,
smp.DeepLabV3,
smp.DeepLabV3Plus,
smp.UPerNet,
],
)
def test_forward_backward(model_class):
Expand All @@ -112,7 +116,18 @@ def test_forward_backward(model_class):

@pytest.mark.parametrize(
"model_class",
[smp.PAN, smp.FPN, smp.PSPNet, smp.Linknet, smp.Unet, smp.UnetPlusPlus, smp.MAnet],
[
smp.PAN,
smp.FPN,
smp.PSPNet,
smp.Linknet,
smp.Unet,
smp.UnetPlusPlus,
smp.MAnet,
smp.DeepLabV3,
smp.DeepLabV3Plus,
smp.UPerNet,
],
)
def test_aux_output(model_class):
model = model_class(
Expand Down