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llama:k-pool スパース選択を kq_mask の形状とは独立して構築する(#31243)* llama:k-pool スパース選択を kq_mask の形状とは独立して構築する qwen4exp(QSA)および glm5-next では、キャッシュセルをインデックスで選択し、もはや kq_mask の値を読み込まないが、それでも密な kq_mask と同じように選択を形成していた。代わりに、キャッシュセルに対して [n_kv, n_tokens] の形で選択を構築し、アテンションの直前に K ビューのストリームに分割する。これにより、スパース層に影響を与えずに、密なマスクのレイアウト(例えば、シーケンスごとの行リストなど)を変更できる。* コメントを改善 共同著者:Georgi Gerganov * llama:未使用の build_fused_top_k_mask 引数を削除し、細部を再確認 --------- 共同著者:Georgi Gerganov **ウェブサイト:** - **証明書:** - **macOS/iOS:** - [macOS Apple Silico

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llama : build the k-pool sparse selection independently of the kq_mask shape (#31243)

* llama : build the k-pool sparse selection independently of the kq_mask shape

qwen4exp (QSA) and glm5-next pick cache cells by index and no longer read the kq_mask values, but they still shaped the selection like the dense kq_mask. Build the selection as [n_kv, n_tokens] over the cache cells instead, and split it into the streams of the K view right before the attention.

This lets the dense mask change its layout (e.g. per-sequence row lists) without touching the sparse layers.

* improve comment

Co-authored-by: Georgi Gerganov

* llama : drop the unused build_fused_top_k_mask args, review nits

---------

Co-authored-by: Georgi Gerganov

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