add notice about flashinfer in sgl-kernel (#3057)
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@@ -90,6 +90,8 @@ def rotary_embedding(positions, query, key, head_size, cos_sin_cache, is_neox):
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return _rotary_embedding(positions, query, key, head_size, cos_sin_cache, is_neox)
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return _rotary_embedding(positions, query, key, head_size, cos_sin_cache, is_neox)
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# These implementations extensively draw from and build upon the FlashInfer project https://github.com/flashinfer-ai/flashinfer
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# Kudos to @yzh119
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def rmsnorm(
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def rmsnorm(
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input: torch.Tensor,
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input: torch.Tensor,
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weight: torch.Tensor,
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weight: torch.Tensor,
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