[None][fix] Batch addSequence with pre-claim to fix host offloading M…#12878
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liji-nv wants to merge 2 commits intoNVIDIA:feat/bench_yfrom
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[None][fix] Batch addSequence with pre-claim to fix host offloading M…#12878liji-nv wants to merge 2 commits intoNVIDIA:feat/bench_yfrom
liji-nv wants to merge 2 commits intoNVIDIA:feat/bench_yfrom
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…NT overflow When host offloading is enabled, onboarding a host block to GPU during addSequence can trigger eviction of other reusable host blocks from the radix tree. This causes actual KV cache reuse to be less than the scheduler estimated, leading to max_num_tokens (MNT) overflow assertions. Add a new addSequenceBatch API that processes all first-chunk context requests in two phases: - Phase 1: Walk the radix tree and claimBlock() for all matching blocks across all requests. No onboarding, no allocation. This protects reusable blocks from eviction. - Phase 2: Onboard host blocks and allocate non-matching blocks. Since all reusable blocks are already claimed, evictions during onboarding cannot touch them. On the Python side, replace the TOCTOU-prone revalidation loop (count_reusable_blocks + budget check) with a single batch call. Signed-off-by: Jin Li <59594262+liji-nv@users.noreply.github.com>
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…chContent (NVIDIA#12550) Signed-off-by: Aurelien Chartier <2567591+achartier@users.noreply.github.com>
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…NT overflow
When host offloading is enabled, onboarding a host block to GPU during addSequence can trigger eviction of other reusable host blocks from the radix tree. This causes actual KV cache reuse to be less than the scheduler estimated, leading to max_num_tokens (MNT) overflow assertions.
Add a new addSequenceBatch API that processes all first-chunk context requests in two phases:
On the Python side, replace the TOCTOU-prone revalidation loop (count_reusable_blocks + budget check) with a single batch call.
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