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deps(dev): update torch requirement from <2.9.0,>=2.8.0 to >=2.8.0,<2.10.0 #263

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deps(dev): update torch requirement from <2.9.0,>=2.8.0 to >=2.8.0,<2.10.0 #263

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10 changes: 5 additions & 5 deletions pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -83,8 +83,8 @@ Source = "https://github.com/CAIIVS/raitap/"

[project.optional-dependencies]
# Backend module
torch-cpu = ["torch>=2.8.0,<2.9.0", "torchvision>=0.20.0,<0.24.0"]
torch-cuda = ["torch>=2.8.0,<2.9.0", "torchvision>=0.20.0,<0.24.0"]
torch-cpu = ["torch>=2.8.0,<2.10.0", "torchvision>=0.20.0,<0.24.0"]
torch-cuda = ["torch>=2.8.0,<2.10.0", "torchvision>=0.20.0,<0.24.0"]
torch-intel = [
# Intel XPU stays on torch>=2.10.0 (unchanged from main): the only torch in the
# 2.8 window on the xpu index is 2.8.0+xpu, whose pinned pytorch-triton-xpu==3.4.0
Expand All @@ -102,13 +102,13 @@ torch-intel = [
onnx-cpu = [
"onnx>=1.21.0",
"onnxruntime>=1.24.4",
"torch>=2.8.0,<2.9.0",
"torch>=2.8.0,<2.10.0",
"torchvision>=0.20.0,<0.24.0",
]
onnx-cuda = [
"onnx>=1.21.0",
"onnxruntime-gpu>=1.24.4",
"torch>=2.8.0,<2.9.0",
"torch>=2.8.0,<2.10.0",
"torchvision>=0.20.0,<0.24.0",
]
onnx-intel = [
Expand Down Expand Up @@ -137,7 +137,7 @@ transparency = ["raitap[shap,captum]"]
# compute. Bundled here and routed to the CPU index in [tool.uv.sources] (like
# onnx-cpu bundles torch); XGBoost runs on CPU here, so the CPU build suffices and
# this extra stays hardware-variant-free.
xgboost = ["xgboost>=2.0", "scikit-learn>=1.3", "torch>=2.8.0,<2.9.0"]
xgboost = ["xgboost>=2.0", "scikit-learn>=1.3", "torch>=2.8.0,<2.10.0"]

# Robustness module
torchattacks = ["torchattacks>=3.5.1"]
Expand Down
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