Multi-turn benchmark for TurboQuant#2
Multi-turn benchmark for TurboQuant#2aditi-amd merged 4 commits intoaditi-amd:feat/tq-rocm-v3-sinksfrom
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…vllm-project#40941) Cherry-pick from upstream PR vllm-project#40941 by Bhoomit Vasani. Key changes: - Remove per-layer TQ buffer allocation from attention.py - Use WorkspaceManager for shared decode scratch buffers - Move centroids init to lazy initialization in _ensure_on_device - Eliminates ~3 GiB memory overhead (62 layers × 50MB → single 50MB) Merge conflict resolution: kept sink support from feat/tq-rocm-v3-sinks Co-Authored-By: Bhoomit Vasani <bhoomit.2010@gmail.com> Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Signed-off-by: Bowen Bao <bowenbao@amd.com>
Signed-off-by: Bowen Bao <bowenbao@amd.com>
Signed-off-by: Bowen Bao <bowenbao@amd.com>
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Results: benchmarks/multi_turn_tq/BENCHMARK_REPORT.md
Instructions and skills: benchmarks/multi_turn_tq/SKILL_MULTITURN_BENCHMARK.md
Also cherry-picked vllm-project#40941, which resolves the extra 22GB memory overhead from TurboQuant.