Update CUDA toolkits requirement (#128)
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@@ -46,7 +46,8 @@ Despite its lightweight design, DeepGEMM's performance matches or exceeds expert
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- Python 3.8 or higher
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- Compilers with C++20 support
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- CUDA Toolkit:
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- CUDA 12.3 or higher for SM90
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- Currently, CUDA 12.8 or higher is required, but support for older versions may be added in the future
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- CUDA 12.8 or higher for SM90
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- **We highly recommend 12.9 or higher for the best performance**
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- CUDA 12.9 or higher for SM100
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- PyTorch 2.1 or higher
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