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Fix model loading on machines without gpu #67

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Fix model loading on machines without gpu #67

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12 changes: 9 additions & 3 deletions src/brainways/model/model_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -40,11 +40,17 @@ def load_model(model_dir: Path) -> SiameseModel:

# Load state dict
state_dict_path = model_dir / "state_dict.pt"
state_dict = torch.load(state_dict_path, weights_only=True)
state_dict = torch.load(
state_dict_path,
map_location="cpu",
weights_only=True,
)
model.load_state_dict(state_dict)

# Set model to evaluation mode and move to GPU
model.eval()
model.to("cuda")

# Move model to GPU if available
if torch.cuda.is_available():
model.to("cuda")

return model
8 changes: 8 additions & 0 deletions src/brainways/utils/_tests/test_setup.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,8 @@
from brainways.utils.setup import BrainwaysSetup


def test_setup():
BrainwaysSetup(
atlas_names=["whs_sd_rat_39um", "allen_mouse_25um"],
progress_callback=lambda x: None,
).run()