Skip to content

register mobilenet presets #2443

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 3 commits into from
Oct 20, 2025
Merged

register mobilenet presets #2443

Show file tree
Hide file tree
Changes from 1 commit
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
d1e6ffb
register mobilenet presets
sachinprasadhs Oct 17, 2025
eea14f8
nit
sachinprasadhs Oct 17, 2025
bd587ac
nit
sachinprasadhs Oct 20, 2025
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
9 changes: 9 additions & 0 deletions keras_hub/src/models/mobilenetv5/__init__.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,9 @@
from keras_hub.src.models.mobilenetv5.mobilenetv5_backbone import (
MobileNetV5Backbone,
)
from keras_hub.src.models.mobilenetv5.mobilenetv5_presets import (
backbone_presets,
)
from keras_hub.src.utils.preset_utils import register_presets

register_presets(backbone_presets, MobileNetV5Backbone)
1 change: 0 additions & 1 deletion keras_hub/src/models/mobilenetv5/mobilenetv5_backbone_test.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -47,7 +47,6 @@ def test_backbone_basics(self):
)

@pytest.mark.large
@pytest.mark.skip(reason="TODO: Enable once presets have been uploaded.")
def test_smallest_preset(self):
self.run_preset_test(
cls=MobileNetV5Backbone,
Expand Down
15 changes: 15 additions & 0 deletions keras_hub/src/models/mobilenetv5/mobilenetv5_presets.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,15 @@
"""MobileNetV5 preset configurations."""

backbone_presets = {
"mobilenetv5_300m_enc_gemma3n": {
"metadata": {
"description": (
"Lightweight 300M-parameter convolutional vision encoder used "
"as the image backbone for Gemma 3n"
),
"params": 294_284_096,
"path": "mobilenetv5",
},
"kaggle_handle": "kaggle://keras/mobilenetv5/keras/mobilenetv5_300m_enc_gemma3n/1",
}
}
Loading