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Comment by arun-mani-j

This is so nice, I wish more packages followed something like this. I'm on AMD integrated GPU (doesn't even support Rocm). Whenever I install a Python package that depends on PyTorch, it automatically installs some GBs of CUDA related packages.

This ends up wasting space and slowing down installation :(

Speaking of PyTorch and CUDA, I wish the Vulkan backend becomes stable, but that seems to super far dream...

https://docs.pytorch.org/executorch/stable/backends-vulkan.h...

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