开源网站GitHub项目热度，图源：Star History
15:25, 13 марта 2026Интернет и СМИ
。关于这个话题，钉钉提供了深入分析
The biggest lesson: the same optimization has completely different value on different hardware. I spent Parts 3-4 building up flash attention as this essential technique — and it is, on GPU. On TPU — at least for this single-head, d=64 setup on a Colab v5e — the hardware architecture makes it unnecessary for typical sequence lengths, and the compiler handles it when it does become necessary. Understanding why I lost taught me more about both architectures than winning on GPU did.
如果你习惯用 npx，也可以：