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docs: clarify v2.9.0 is unofficial fork + add GitHub plan/notes links

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  1. README.md +8 -1
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@@ -27,6 +27,13 @@ Pre-built version: lash_attn-2 with **Python 3.11 & 3.12 & 3.13** support.
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  - 15.11.2025 Uploaded v2.8.3 based on PyTorch 2.9.1+cu130
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  - 12.02.2026 Uploaded v2.8.3 based on PyTorch 2.10.0+cu130
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  - 29.03.2026 Uploaded v2.8.3 based on PyTorch 2.11.0+cu130
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- - 13.05.2026 Uploaded v2.9.0 based on PyTorch 2.10.0+cu130 (FA2 fork with A-1/A-2 optimizations)
 
 
 
 
 
 
 
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  ※Unofficial built version!! It works correctly in my environment, but I am not sure that will work in yours.
 
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  - 15.11.2025 Uploaded v2.8.3 based on PyTorch 2.9.1+cu130
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  - 12.02.2026 Uploaded v2.8.3 based on PyTorch 2.10.0+cu130
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  - 29.03.2026 Uploaded v2.8.3 based on PyTorch 2.11.0+cu130
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+ - 13.05.2026 Uploaded **v2.9.0** based on PyTorch 2.10.0+cu130 **unofficial fork-only build** (not an official release). Includes FA2 A-1/A-2 optimizations.
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+ ## About v2.9.0
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+ **v2.9.0 is not an official FlashAttention release.** It is an independent fork build that continues FA2 kernel development while upstream focuses on FA3/F4.
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+ - **Optimization plan (GitHub):** https://github.com/ussoewwin/flash-attention/blob/main/AI/FA2_BACKPORT_FROM_FA4_PLAN.md
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+ - **Kernel change notes (GitHub):** https://github.com/ussoewwin/flash-attention/blob/main/md/FA2_CHANGES_v1.1.md
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+ - **Fork changelog (GitHub):** https://github.com/ussoewwin/flash-attention/blob/main/md/CHANGELOG.md
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  ※Unofficial built version!! It works correctly in my environment, but I am not sure that will work in yours.