Skip to content
This repository has been archived by the owner on Oct 9, 2023. It is now read-only.

Fix vgg backbone num_features #154

Merged
merged 2 commits into from
Mar 3, 2021
Merged

Fix vgg backbone num_features #154

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
ddec39a
fix vgg backbone num_features
kaushikb11 Mar 1, 2021
b7def68
Merge branch 'master' into fix/vgg
Borda Mar 3, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion flash/vision/backbones.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -123,7 +123,7 @@ def torchvision_backbone_and_num_features(model_name: str, pretrained: bool = Tr
if model_name in MOBILENET_MODELS + VGG_MODELS:
model = model(pretrained=pretrained)
backbone = model.features
num_features = model.classifier[-1].in_features
num_features = 512 if model_name in VGG_MODELS else model.classifier[-1].in_features
return backbone, num_features

elif model_name in RESNET_MODELS:
Expand Down
4 changes: 2 additions & 2 deletions tests/vision/test_backbones.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,8 @@


@pytest.mark.parametrize(["backbone", "expected_num_features"], [("resnet34", 512), ("mobilenet_v2", 1280),
("simclr-imagenet", 2048)])
def test_fetch_fasterrcnn_backbone_and_num_features(backbone, expected_num_features):
("simclr-imagenet", 2048), ("vgg16", 512)])
def test_backbone_and_num_features(backbone, expected_num_features):

backbone_model, num_features = backbone_and_num_features(model_name=backbone, pretrained=False, fpn=False)

Expand Down