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fix loading bug for new torch versions #56

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Merged
Hendrik-code merged 1 commit into from
Dec 1, 2025
Merged

fix loading bug for new torch versions #56

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3 changes: 2 additions & 1 deletion .gitignore
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Original file line number Diff line number Diff line change
Expand Up @@ -157,4 +157,5 @@ lightning_logs/
test.txt
derivatives_seg
robert_test.py
poetry.lock
poetry.lock
*.DS_Store
2 changes: 1 addition & 1 deletion pyproject.toml
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Expand Up @@ -30,7 +30,7 @@ SciPy = "^1.11.2"
torchmetrics = "^1.1.2"
tqdm = "^4.66.1"
einops= "^0.6.1"
nnunetv2 = "2.4.2"
nnunetv2 = "^2.4.2"
TPTBox = "^0.4.0"
antspyx = "0.4.2"
rich = "^13.6.0"
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2 changes: 1 addition & 1 deletion spineps/lab_model.py
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Expand Up @@ -97,7 +97,7 @@ def load(self, folds: tuple[str, ...] | None = None) -> Self: # noqa: ARG002

chktpath = search_path(self.model_folder, "**/*val_f1=*valf1-weights.ckpt")
assert len(chktpath) >= 1, chktpath
model = PLClassifier.load_from_checkpoint(checkpoint_path=chktpath[-1])
model = PLClassifier.load_from_checkpoint(checkpoint_path=chktpath[-1], weights_only=False)
if hasattr(model.opt, "final_size"):
self.final_size = model.opt.final_size
self.transform = Compose(
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2 changes: 1 addition & 1 deletion spineps/seg_model.py
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Expand Up @@ -313,7 +313,7 @@ def load(self, folds: tuple[str, ...] | None = None) -> Self: # noqa: ARG002

chktpath = search_path(self.model_folder, "**/*weights*.ckpt")
assert len(chktpath) == 1
model = PLNet.load_from_checkpoint(checkpoint_path=chktpath[0])
model = PLNet.load_from_checkpoint(checkpoint_path=chktpath[0], weights_only=False)
model.eval()
self.device = torch.device("cuda:0" if torch.cuda.is_available() and not self.use_cpu else "cpu")
model.to(self.device)
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