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cuda-core: require pytorch-gpu in examples env
Use the explicit `pytorch-gpu` metapackage for the examples environment so PyTorch resolves to a CUDA-enabled build by design. Made-with: Cursor
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cuda_core/pixi.toml

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@@ -26,7 +26,6 @@ pyglet = "*"
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[feature.examples.target.linux.dependencies]
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cupy = "*"
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pytorch = "*"
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pytorch-gpu = "*"
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libgl-devel = "*"
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gxx = "*"

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